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The Effect Of Lottery Demand On The Stock Market During Changing Economic Conditions: A Case Study Of Pakistan (PSX).

The Journal of Management Science Research Review (JMSRR)

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780 Online ISSN: 3006-2047 Print ISSN: 3006-2039 The Effect Of Lottery Demand On The Stock Market During Changing Economic Conditions: A Case Study Of Pakistan (PSX). Faiza Sajjad Assistant Registrar, SBK Women's University Sub Campus, Khuzdar. Khuram Shahzad* Assistant Professor, IMS, University of Balochistan, Quetta Email: [email protected] Fauzia Ahmed Lecturer, IMS, University of Balochistan, Quetta Wahab Ahmed Lecturer, BUITEMS, Quetta Abstract The study aims to evaluate the economic cycles of four previous governments and the influence of economic shocks on stock prices. Quantile regression and portfolio sorting examine the effects of economic uncertainty on stock returns, volatility, and investor sentiment. The robustness study employs cross-sectional regression using the Fama-MacBeth method. Elections make markets less stable and lower returns. People were uncertain about the elections due to the 2008 global financial crisis. It caused stock prices to go down. Researchers discovered that stocks with idiosyncratic volatility (IVOLT) and skewness (ISKEN) are similar to lottery tickets. It means that when things are unclear, investors tend to prefer safer assets. Stocks like MAXRET(1) and MAXRET(5), which have very high returns over one and five days, tend to underperform when political stability is unstable. It supports the notion that changes in inflation, interest rates, and exchange rates make riskier stocks worth less. The economy can influence how the market operates and cause prices to fluctuate rapidly because trading based solely on momentum is ineffective. Keywords: Macroeconomic indicators, Stock Market Volatility, Idiosyncratic Volatility, Lottery Stocks, Momentum Strategies. Pakistan Stock Exchange, PSX. Introduction People from all walks of life invest in Pakistan's stock market, which is vital to the economy. Economic issues have long plagued the Karachi Stock Exchange (KSE), now the Pakistan Stock Exchange (PSX) (Tariq et al., 2021). Most equity prices depend on public perceptions of the economy, government policies, and the nation's future. Tauseef's 2020 study found that stock market investors in Pakistan are volatile 781 Online ISSN: 3006-2047 Print ISSN: 3006-2039 during economic policy transitions. Pakistani stock market investors use this approach. Wang et al. (2024) say it is hard to link lottery demand to the stock market, structural, and economic changes. The relationship is linked to macroeconomic changes. There are several plausible connections between these extremes. Economic instability may lead people to take risks, such as investing heavily in stocks or buying lottery tickets. Increased risk-taking may explain this. Although unknown, this may be an attempt to optimize financial resources (Perveen et al., 2020). In a 2020 study, Salisu and colleagues found that investors may switch from safer options, such as stocks, which are vulnerable to macroeconomic instability, to more appealing options, such as gambling or lotteries, which offer faster returns during economic instability. In prolonged economic and financial downturns, stockless lotteries may be a safe investment. Lee et al.'s 2020 study found that stockless lotteries are less volatile during economic turmoil. Stockless lotteries do not require investors to possess firm shares. Liquidity and activity can show how lottery spending affects the stock market. It is because the stock market is constantly changing. Lottery participation may reduce capital flows in the stock market, according to Adil et al. (2023). These researchers' findings underpin this notion. This study examines how economic variations affect lottery ticket sales and the Pakistani stock market. Investors, economists, market participants, and strategic policymakers will benefit most from these meetings. It is due to economic uncertainty and non-institutional interest in the stock market. This study examines how good and negative economic changes affect financial market opinions. It will follow consumer thoughts and feelings. It will help us understand Pakistani retail investors' behavior during economic uncertainty, notably lottery activity, which may signal economic weakness or susceptibility. It illuminates the behavior of Pakistani retail investors under economic uncertainty. This study examined how economic developments affected Pakistan's stock market and lottery ticket sales. In conclusion, this inquiry has a clear goal. This strategy shows how emerging-country financial markets address social and economic issues. Problem Statement Investor sentiment substantially influences government and social issues that affect financial markets. Markets are affected by both causes. In times of economic turmoil, developing nations like Pakistan have more volatile stock markets. These nations have long-term economic concerns. Market volatility is forcing investors to switch positions. It affects the market and encourages the trading of psychologically volatile, speculative stocks. Understanding how speculative stock demand drives market volatility during economic transitions helps investors react when markets are stable. Trading on economic news during or after incidents sometimes swings markets. It occurs frequently throughout transitions. Investor confidence drops when market stability is endangered. Many people buying gambling-like equities could produce excessive speculation, asset bubbles, and depreciation. The value of other assets will decrease. Without a comprehensive strategy to manage hackers' sophisticated system weaknesses, retirees risk financial loss. Understanding complex strategy requires a 782 Online ISSN: 3006-2047 Print ISSN: 3006-2039 detailed plan. This speculation undermines market safety laws and strategies. A more complete economic solution to speculative lotteries could avert this issue. It may aid regulators and the public. Research Objective Demand for lottery tickets shifts in the event of significant economic instability. This movement is driven by a range of economic reasons and occurs during substantial economic instability. As this revolution unfolds, demand for lottery tickets will shift. It is impossible to overstate the importance of keeping this in mind, particularly during times of economic uncertainty. It cannot be stressed enough. This variance has arisen due to the significant economic instability occurring in recent times. This instability has persisted for the past few years. This research is being conducted to identify the key economic and political factors driving current volatility. As a result, it will be possible to determine the causes responsible for the oscillations observed continuously since the beginning of this process. Significance of the Study Even executives benefit from trend analysis. Uncertain investors may develop stock market standards using new business or economic data. Strategic marketing and investor relations may promote stock offers and speculation. Economics strongly impact finance. In the context of economic and financial instability, hyperinflation, currency depreciation, and unpredictable monetary policies, lottery ticket sales and economic growth are hurt. Even flawed lottery tickets empower people experiencing poverty. Economic Joe studies gold prices. Lottery and risky investment sales are driven by economic uncertainty. Investors can churn markets without government control. Though people prefer secure investments, economic uncertainty may help investors profit from stock market inefficiencies. Analysts must track investor sentiment and technological trust to comprehend disruptive technologies and integrators. Pakistani case studies combine financial and economic aspects in marketing. Assess the country's or investment's economic progress. It affects society and the economy beyond money. Economic analysis shows that a stable economy boosts consumer and investor confidence. If uncertainty encourages irrational financial risk-taking, legislation may be needed. Polls demonstrate poor financial literacy. Lottery-like systems need economic and financial backing for ethical investing, planning, and asset management. Economic change and market risk appetite are rarely studied. Since lottery ticket demand, Pakistani stock market volatility, and economic instability affect investors, markets, banks, and institutions, this gap warrants exploration. Risk management, investment decisions, and regulatory efficiency improve with this knowledge. Scholarship and finance are promoted. Economic growth, financial institutions, and macroeconomic stability will suffer. 783 Online ISSN: 3006-2047 Print ISSN: 3006-2039 Literature Review Lottery demand has been extensively studied in economics, investment theory, and behavioral finance. Consumers prefer assets with a slight chance of enormous rewards despite their average negative value (Jiang et al., 2024; Moaaz & Mansour, 2023). As with lottery tickets, the odds of winning big are significantly lower than the ticket price. Risk-taking attitudes, positive feedback loops, and biases that affect attitudes and perceptions create the illusion of chance when none exists (Kuldip Kaur & Sahni, 2023). Financial market lotteries are important because Kahneman and Tversky's prospect theory suggests that people are more likely to take risks when there is a potentially advantageous large payout, even if the likelihood of obtaining that reward is low (Zhang et al., 2021). Prospect theory holds that investors are more inclined to buy lottery-type assets when they overestimate small odds and underestimate moderate or high probabilities (Ziarko et al., 2024). This is why investors may hold stocks despite their intrinsic value, especially in uncertain or financially challenging times. Jong et al. (2017) observed that strongly skewed stocks underperform but can gain significantly. Lottery stocks have low prices, significant idiosyncratic volatility, and extreme positive skewness because investors are willing to pay despite the poor odds (Akbar and Bhutto, 2023). These stocks are like lottery tickets; low odds of significant gains, high odds of failure. Lottery stocks have high return skewness and are avoided since they rarely perform well (Miersch et al., 2024). Their analysis also found that investors want uneven profits from these companies. Lottery-like stocks are cheap with a skewed yield distribution and erratic performance (Su, 2021). Though they could make significant gains, many stocks lose money. This group says irrational thinking and gambling cause investors to acquire these stocks. According to Kashif et al. (2023), lottery stocks exhibit low share prices, firm-specific volatility, and strong skewness in their return distributions. Speculators buy these companies despite poor returns. Personal biases affect stock demand more than behavioral heuristics or fundamental value, the study shows. Ziarko et al. (2024) argue that lottery stocks with low odds of large prizes are most likely gambling. Investors are willing to risk a "bet" on these stocks for significant gains. They claim that prospect theory and the exaggeration of small likelihoods drive investors to these stocks. Nasir et al. (2023) imply that lottery stocks are sought by risk-takers for short-term gains despite longterm underperformance. He finds that emerging economies with vigorous speculative investor activity are more likely to have these equities, contrary to fundamental research. Jiang et al. (2024) say lottery stocks attract speculative investors willing to risk more to make more money. Similar to lottery tickets, these investments benefit some while underperforming for others. Volatility, psychological biases, and market intuition drive lottery stock purchases, not fundamental analysis (Rosa, et al., 2022). These unique methods explain the popularity of lottery stocks among high-risk investors (An et al., 2023). Perhaps the most unique trait of lottery stocks is their positively skewed return distribution (Bali et al., 2021). Similar to winning the lottery, they frequently yield low returns but sometimes high ones. Behavioral finance shows that investors 784 Online ISSN: 3006-2047 Print ISSN: 3006-2039 overestimate the likelihood of large profits and buy stocks with even the tiniest probability of disproportionate returns. Other research demonstrates that companies with high downside risk perform poorly over time, although typical investors like them (Ziarko et al., 2024). Lottery stocks also have high idiosyncratic volatility, meaning firm-specific events cause price divergence (Mittal et al., 2020; Tariq, 2021). Many traders try to capitalize on market volatility for quick cash (Devulapally & Tripurana, 2023). However, volatility can cause instability and financial losses from rash actions. Other characteristics of lottery stocks include their low prices, sometimes penny stocks under $5 per share. Penny stocks attract investors who expect higher profits (Terutama, 2022). It is wrong because losses, poor company performance, and aggressive speculation lower stock values. Many small investors acquire these stocks in bulk due to their low cost, boosting trading volume and price volatility (Chen & Lin, 2025). In the long run, lottery stocks underperform. The speculative nature and weak fundamentals of many of these companies lower their average returns despite their short-term profit potential. Investors seeking a windfall may ignore these shares' empirically negative risk-adjusted returns. Fundamental and cautious investors should avoid these stocks due to declining returns (Index Investment Strategy, 2023; Nasir et al., 2023). Lottery stocks exhibit greater kurtosis than "normal" equities, leading to larger price movements. Lottery stocks have short-term losses and high profits, while other stocks offer more consistent returns. Lottery stock investments entice gamblers despite most losing money (Lobo & Bhat, 2021). Lottery stocks trade often. Buyers and sellers earn from price swings by trading these stocks (Jiang et al., 2024). This method raises trade volume and creates price booms and busts, when stock prices rise owing to frantic speculation and plummet when it calms. Speculative trading is possible with these volatile, market-sensitive shares (Srivastava et al., 2022). More lottery stocks are in developing countries than in sophisticated financial markets. Emerging nations have more speculative investors, inefficient stock markets, and lax financial rules. Poorly educated investors dominate these markets, which risk significant losses. These markets experience greater speculative trading due to economic uncertainty (Shruti Punj, 2023). Economic factors shape the complex market structure, driving fluctuations and trends. Interest rates, GDP growth, inflation, employment, exchange rates, and government policies affect investment decisions (Jui et al., 2024). Economic strength boosts consumer spending, market confidence, and demand for high-yield assets. In slow economies, investors buy stocks or bonds or prefer low-risk investments like gold and government bonds based on their purchasing power (Feder-Sempach et al., 2024). Government ambitions, policies, and geopolitical events affect asset values, while trade relations affect investor confidence and capital flow. The "less favorable" relationship between political and economic issues must be considered while investing (Omor & Faruq, 2023). Changes impact investors' risk tolerance and economics. Gradual GDP and employment growth boost investor optimism (Maghdid et al., 2024; Rashid, 2024). The rising value of developing firms, the demand for riskier assets with higher yields, 785 Online ISSN: 3006-2047 Print ISSN: 3006-2039 and the stock market cash flood reflect this optimism. Evans describes self-fulfilling prophecies as "growth-oriented," meaning investors buy more across the market during economic expansion (Banner et al., 2018; Ziarko, 2024). Recessions lower investor morale by reducing corporate profitability, increasing economic instability, leading to unemployment, and slowing consumer spending. Investors prefer low-risk strategies, such as defensive equities, gold, and fixed-income products, during economic turbulence (Feder-Sempach et al., 2024). The economy always impacts investor and financial market behavior. The economy relies on financial markets (Alim et al., 2024). Macroeconomic factors affect investment, risk tolerance, capital flows, and market sentiment. Kang et al. (2022) note that these top issues significantly influence investor behavior and capital market activity. Regional economic health is measured by GDP and economic development. GDP growth boosts market growth, consumption, building, corporate earnings, and stocks. Growing economies have optimistic equity markets (Jui et al., 2024). Stock market investor confidence is growing. Positive folks take more risks than pessimists. Growth companies are more popular; therefore, investors buy them aggressively during periods of high GDP growth. Industrial, consumer discretionary, and technology stocks grow (Eboigbe & Modugu, 2018). Strong GDP growth boosts global and domestic investment. When GDP falls, consumers worry, prompting a market sell-off, lower prices, and weaker investor confidence in the markets and themselves (Mouneer et al., 2023). Financial markets and investors are affected by inflation (Kumar, 2009; Kahneman & Tversky, 1979; Bali, Cakici, & Whitelaw, 2011). Inflation lowers investment profits and purchasing power (James & Chin, 2022). Gold and real estate outperform low-yielding fixed-income products as inflation rises. Price increases raised interest rates, affecting borrowing costs and corporate profits. Central banks must cut expenditure to lower the money supply when inflation rises. Market corrections lower industrial output (Suresh & Kumar, 2021). Central banks dominate interest rates and market investment plans (Lastauskas & Nguyen, 2023). Because central banks adjust interest rates to boost or slow growth or inflation. Low interest rates allow banks to borrow reserves and boost business and consumer spending. It boosts stocks (Jahnvi & Devi, 2023). However, rising interest rates reduce the availability of money, lowering stock market earnings and raising borrowing costs. As interest rates rise, investors are turning to bonds, which are stable and offer limited returns. Rising interest rates limit stock and corporate investment. Declines in the latter boost stock prices, value caps, and assessments (Ziarko et al., 2024). The extent to which a market allows asset purchases or sales at defined prices is called liquidity. Banking and monetary policy affect credit availability, which impacts loan eligibility for individuals and enterprises. Increased liquidity streamlines transactions, boosting investor trust. Finance encourages businesses and individuals to invest and take on risk. Increased trading volumes reduce volatility in liquid markets. In financial crises, liquidity may evaporate, prompting steep losses and panic selling (Punj, 2023; Wang et al., 2024). Consumer spending and the economy depend on jobs. The economy is thriving despite challenges and high unemployment (Barello & Hugie, 786 Online ISSN: 3006-2047 Print ISSN: 3006-2039 2023). Employment is strongly linked to consumer spending and investment. The economy declines as unemployment grows, and overspending makes investors riskaverse. Strong labor markets often accompany high stock markets, especially in consumer-driven industries. Increased unemployment can induce recessions and stock market drops (David et al., 2023). Changes in exchange rates affect international trade and investment. A strong native currency may attract international investment, whereas a weak one may cause capital flight. Converting a depreciating asset into its local currency may result in a loss (Anwar et al., 2023). International investors flee stock markets for those with stable currencies and lower exchange rates. Strong currencies damage export-led enterprises by raising export prices. A weaker currency weakens competitiveness and may raise import prices and inflation (Hassan et al., 2022; Younis, 2020). Customs, foreign aid, and balance of payments influence a nation's financial strategy. Expanding government spending and decreasing taxes boost economic growth, whereas contractionary policies reduce the budget deficit (Makohon, 2021). Economic growth, employment, stock appeal, and company earnings gain from fiscal expansion. Tule et al. (2020) predict lower disposable incomes and company profitability due to fewer discretionary expenditures. Infrastructure and government subsidies would boost the economy and stock prices. Government expenditure increases inflation and debt, hurting the market (Garg et al., 2024). In an integrated economy, the finances of major global economic giants heavily affect market investors. Tariffs, trade, and international relations affect investment. Tariffs make markets unpredictable; therefore, investors shun them (Maghdid et al., 2024). Economic alliances and free trade agreements better protect investors. Trade wars, global recessions, and geopolitical unrest can disrupt supply chains, decreasing corporate earnings and increasing market volatility (Wang et al., 2024). The economy, market expectations, and earnings affect investor sentiment and stock prices. Overpriced markets correct, but inexpensive markets attract long-term investment. Investors will speculate in pricey markets (Sipley, 2021). Defensive equities safeguard investors in weak markets. Market bubbles result from overconfidence in stock prices. Jabeen et al. (2022) state that market collapses lead to significant falls and financial disasters. Oil and other commodities impact global finance. Gold, crude oil, and agricultural prices affect industrial production and inflation. To hedge against inflationary expectations from high commodity prices, investors buy gold or energy equities (Zakaria et al., 2021). Raw material firms profit from lower prices. As oil prices rise, the economy may stagnate, spend less, and inflate. However, declining oil prices can suggest weak global demand and economic contraction (Mukhtarov et al., 2021; Sia, 2023). Corporate success drives stocks. Strong profit growth announcements boost investor spending and stock prices. Good earnings boost stock sales and spending, while bad ones depress them. Earnings analysis is essential for portfolio planning. Strong corporate earnings fuel bull markets, while earnings declines trigger corrections and recessions (Akbar & Bhutto, 2023). Investor psychology affects market swings. Fear, greed, and panic cause market volatility. Investors' overconfidence and herd mentality 787 Online ISSN: 3006-2047 Print ISSN: 3006-2039 often produce asset bubbles or market crashes. Concern about the economy can drive market sell-offs, while exhilaration can cause reckless speculation (Alamsyah et al., 2023). Interest rates, inflation, and exchange rates affect the tastes and behavior of lottery stock investors. Lottery stocks attract investors willing to assume unnecessary financial risks for the potential of significant gains (Kashif et al., 2023). It is generally recognized that macroeconomic conditions affect perceptions of risk and reward, as well as capital market allocation. These qualities and their consequences on investor sentiment and corporate trust must be examined to measure market health and financial stability (Ghani & Ghani, 2024; Salim, 2020). H1: Investor preferences for lottery stocks are significantly influenced by macroeconomic factors such as inflation, interest rates, and exchange rates. Research Methodology This research utilizes a quantitative framework to examine the nexus between lotterylike stock demand, stock market volatility, and political regime change in Pakistan. The research employs a panel data framework spanning 21 years, from 2002 to 2023, to accommodate a broad array of economic and financial differences. A pivotal aspect of the research design is its event-driven nature, which enables the examination of investor behavior before, during, and after economic policy changes. The research ensures a robust empirical analysis by using tercile-based quantile regression (low, middle, and high terciles) to examine how sentiment-based trading varies with changes in investor risk tolerance. The study categorizes lottery-like stocks based on three basic traits: maximum daily return (MAXRET), idiosyncratic volatility (IVOL), and low stock prices (below PKR 10 per stock). By grouping investors into terciles (lower 33%, middle 33%, and upper 33%), the study thoroughly analyzes the diverse responses of various investor groups to stock market volatility, macroeconomic shocks, and political tensions. The applied quantile regression method captures heterogeneous effects, showing that risk-taking behavior increases during periods of high market volatility. The dependent variable is stock returns, defined as the ratio of total trading volume of lottery-like stocks. The independent variables are idiosyncratic volatility (FamaFrench six-factor), economic factors (inflation, unemployment, and economic uncertainty). Using tercile-based quantile regression, this research design provides a precise examination of investor sentiment across different levels of risk exposure, thereby offering a thorough study of behavioral finance in uncertain economic markets. This study uses a quantitative method to examine the impact of economic events on the returns of shares listed on the Pakistan Stock Exchange (PSX). The primary dependent variable in this research is stock return, while the primary independent variable is the years of economic transition in 2002, 2008, 2013, and 2018. These years of transition are marked by primary elections and regime changes in Pakistan, historically linked to shifts in market stability and investor sentiment. To ensure robust and reliable findings, this study employs the Fama-MacBeth regression as an alternative empirical technique. The research design is structured into three 788 Online ISSN: 3006-2047 Print ISSN: 3006-2039 phases: i) exploratory data analysis and descriptive statistics, ii) quantile regression for the primary analysis, and iii) Fama-MacBeth regression for cross-sectional robustness checks. Combining quantile regression with Fama-MacBeth estimation, this research provides a conclusive analysis of the impact of economic uncertainty on stock market behavior in an emerging market such as Pakistan. This research design ensures that investor sentiment, risk aversion, and macroeconomic factors are systematically controlled and that the findings are robust and policy-relevant. The study population comprises all publicly listed companies on the Pakistan Stock Exchange (PSX) between 2002 and 2023. The sampling process is standardized so that the sample comprises firms from various industries with different risk exposures. The most significant sample selection criterion is that companies must have been continuously listed on the PSX throughout the study period (2002–2023) to allow for consistent return calculations. Second, trading activity in low-frequency stocks or those with illiquidity is avoided to prevent selection bias. Third, the last sample is primarily composed of companies with long records of stock return data, precise financial measures, and pertinent macroeconomic variables. Fourth, an appropriate mix of large-, mid-, and small-cap stocks is used to ensure that significant institutional investments do not skew results. Finally, the research focuses on stock returns, using evidence from pre-event, event, and post-event periods to measure changes in investor sentiment. The final sample is a panel dataset of PSX-listed firms with daily and monthly stock returns, volatility indicators, and firm-level financial variables. The study ensures sufficient stocks across all sectors, thereby allowing a broad representation of how different industries respond to political instability. The sample size is expected to fluctuate from year to year due to de-listings, new IPOs, and changes in market structure, but a minimum number of firms is guaranteed to ensure statistical completeness. The sampling method adopted is purposive sampling, as companies are selected based on market representation, trade volume, and data availability, rather than randomly. Using this method, the dataset becomes more effective in capturing the effect of economic uncertainty on stock returns, making the inference generalizable to the entire Pakistani equity market. The paper also uses tercile-based quantile regression, in which stocks are segmented into low-, medium-, and highreturn terciles, and analyzes how different investor segments respond to economic shocks. Stock market data, including daily and monthly stock returns, is sourced from the Pakistan Stock Exchange (PSX) and DataStream. Firm-specific financial features, trading volume, and risk factors are available in the dataset, supporting a robust examination of how stocks with different risk profiles react to economic shifts. Macroeconomic variables, including inflation, unemployment, and economic uncertainty, are sourced from the State Bank of Pakistan (SBP) and the World Bank's World Development Indicators (WDI). Stock return, used as a dependent variable in the study, is defined as: 795 Online ISSN: 3006-2047 Print ISSN: 3006-2039 MAX (5) Quantile Equal Weighted Value Weighted Interpretation Inflation Bottom - 0.1472*** - 0.1635*** Inflation shocks cause traders to withdraw from highly volatile MAX-return stocks. Inflation Top 0.1019*** 0.1342*** Optimistic inflation outlook boosts shortterm speculative bets. Interest Rate Bottom - 0.2598*** - 0.3096*** Tight monetary policy suppresses gambling-type trading behavior. Interest Rate Top 0.0726** 0.0911** Stable interest rates encourage short-term lottery trading. Exchange Rate Bottom - 0.2189*** - 0.2564*** Volatile exchange markets limit investor exposure to MAX(5) stocks. Exchange Rate Top 0.0832** 0.1289*** Exchange stability or appreciation triggers speculative inflows into extremereturn stocks. Low-Price Quantile Equal Weighted Value Weighted Interpretation Inflation Bottom - 0.1784*** - 0.2047*** Inflation increases risk aversion, reducing speculative trading in low-priced stocks. Inflation Top 0.0938*** 0.1265*** Price stabilization revives speculative appetite for penny-type stocks. Interest Rate Bottom - 0.2417*** - 0.2884*** High policy rates discourage investment in cheap, high-risk shares. Interest Rate Top 0.0631* 0.0867** Lower rates or stable conditions enhance small-stock trading activity. Exchange Rate Bottom - 0.2032*** - 0.2479*** Depreciation increases uncertainty, dampening speculation in low-priced stocks. Exchange Rate Top 0.0794** 0.1128*** Exchange rate stabilization improves sentiment toward speculative stocks. In Model 7, the interaction between inflation and low-priced stocks shows a significant negative impact (β = -0.123, p < 0.01), suggesting that inflation uncertainty forces investors to retreat from low-priced, speculative stocks. The lowprice variable itself (β = -0.142, p < 0.05) reveals that such assets are susceptible to macroeconomic shocks. Control variables perform similarly across all models and are consistent with theoretical expectations. Momentum and reversal are negative and highly significant (p < 0.01) across the board, suggesting a tendency toward market corrections. Firm size (Ln Size) and book-to-market ratio (Ln BM) are negatively related to returns, consistent with the size and value effects of the Fama–French (1993) models. Conversely, illiquidity and turnover yield mixed results, given different liquidity dynamics across economic conditions. Models (5) and (6) discuss the interest rate and exchange rate effects on extremes in 796 Online ISSN: 3006-2047 Print ISSN: 3006-2039 return behaviors, proxied by the variables MAX(1) and MAX(5), respectively. Both of these macroeconomic variables feature contrasting yet logical effects: While interest rates in Model (5) feature a positive impact, with a β of 0.089 and p < 0.01, reflecting the fact that moderate stability in rates encourages speculation in pursuit of short-term returns, MAX(1) is negative at β = -0.019 and p < 0.01, suggesting excessive volatility in interest rates suppresses lottery-like investment behavior. Notably, the exchange rate in model (6) reveals a positive coefficient, β = 0.071, and p < 0.01, consistent with the notion that currency stabilization favors optimism in the short term, whereas MAX(5) remains negative at β = -0.177 and p < 0.01, reflecting extreme volatility in currency markets that discourages gambling-type investment behavior. Table 2: Robustness Analysis FAMA-MACBETH Variable Model (1) Inflati on + IVOL T Model (2) Interes t Rate + IVOL T Model (3) Exchan ge Rate + IVOLT Model (4) Inflati on + ISKE N Model (5) Interes t Rate + MAX( 1) Model (6) Exchan ge Rate + MAX(5 ) Model (7) Inflati on + Low Price Constant -0.086 -0.067 -0.074 0.021 0.071 0.045 -0.152 Inflation - 0.111* ** - 0.094* ** - 0.123* ** Interest Rate - 0.132* ** 0.089* ** Exchange Rate 0.083** * 0.071** * IVOLT - 0.068* ** 0.053* * 0.061** ISKEN - 0.101* * MAX(1) - 0.019* ** MAX(5) - 0.177** * LnPrice - 0.142* 797 Online ISSN: 3006-2047 Print ISSN: 3006-2039 * TSKEN 0.059 -0.066 -0.051 -0.173 -0.048 -0.189 0.022 TVOL - 0.019* * 0.034* * - 0.171** - 0.095* * - 0.089* * - 0.097** - 0.026* * Market Beta 0.012* - 0.127* * - 0.132** 0.066* * - 0.079* * - 0.085** 0.029* Momentum - 0.185* ** - 0.041* * - 0.043** - 0.113* ** - 0.115* ** - 0.118** * - 0.048* * Ln Illiquidity 0.082* * -0.022 -0.009 -0.004 0.043* 0.048* -0.039* Ln Turnover 0.045 - 0.167* * - 0.175** - 0.094* * - 0.087* * - 0.091** -0.067* Ln BM - 0.129* * -0.014 -0.017 -0.043* - 0.109* * - 0.117** - 0.178* * Ln Size - 0.142* * - 0.139* * - 0.146** - 0.036* * - 0.034* * - 0.038** - 0.157* * Reversal - 0.141* ** - 0.172* ** - 0.177** * - 0.139* ** - 0.146* ** - 0.152** * - 0.183* ** Adjusted R² 0.59 0.57 0.55 0.53 0.61 0.58 0.56 F-Statistic 29.82* ** 28.63* ** 27.11** * 30.25* ** 31.49* ** 28.02** * 29.36* ** Observations 3,200 3,200 3,200 3,200 3,200 3,200 3,200 Multicollinea rity < 2.0 < 2.0 < 2.0 < 2.0 < 2.0 < 2.0 < 2.0 Conclusion This method shows that economic transitions affect stock market behavior, supporting previous research on economic uncertainty and financial markets (Pastor & Veronesi, 2013; Bialkowski, Gottschalk, & Wisniewski, 2008) According to the Fama-MacBeth cross-sectional regression model, uncertainty, market volatility, and investor risk aversion lower stock returns in election years (2002, 2008, 2013, and 2018). All models had a negative coefficient for the economic transition variable, especially in 2008 (-0.178), suggesting that macroeconomic shocks, such as the global financial crisis, can worsen economic instability. According to Pástor and Veronesi (2013), elections generate policy uncertainty; therefore, risk-averse investors hoard risky 798 Online ISSN: 3006-2047 Print ISSN: 3006-2039 assets. We agree with Bialkowski et al. (2008) that economic cycles affect equity markets, especially in emerging and vulnerable economies. This study suggests that high-volatility stocks underperform during economic transition. It aids quantile regression and portfolio sorting. IVOLT was -0.07 and - 0.047 in 2013 and 2018, indicating a good association with stock performance. Bali, Brown, and Tang (2017) found that high-idiosyncratic-volatility stocks underperform following economic shocks. Economic uncertainty hurt lottery-like idiosyncratic skewness (ISKEN) stocks in 2008 and 2013 (-0.113 and -0.109). It supports the behavioral finance notion that investors overpay for speculative stocks in some markets but buy safer ones in others (Kumar, 2009). Extreme return stocks MAXRET (1) and (5) underperform (-0.198 and -0.167) in 2008 and 2018. It suggests that election uncertainty decreases short-term speculative trading (Bali et al., 2011). This study also found that elections impair momentum-based investment. The 2002 and 2008 momentum coefficients (-0.04) imply economic uncertainty influences market sentiment, making it hard for victors to hold gains. Momentum strategies fail during market corrections and periods of uncertainty (Antoniou, Doukas, & Subrahmanyam, 2013). The negative reversal coefficients, especially in 2008 (-0.09), suggest that investors respond more to economic announcements and macroeconomic surprises during periods of economic uncertainty (Chordia & Shivakumar, 2002). Short-term price corrections are more likely during elections, thus traders may need more flexibility. This study helps investors, fund managers, and economical negotiate stock market elections. Risk aversion and uncertainty hurt volatile, speculative stocks during economic uncertainty. Investment managers may buy safer equities before elections. In controlling economic risk, liquidity is studied, and high-turnover shares perform better during election years, suggesting that investors favour shares that can be updated quickly after policy changes. Officials should maintain transparent and predictable economic policies during elections to protect investor confidence and the stock market. Government policies and efforts to reduce uncertainty can calm financial markets and boost long-term investment. This study extends the economic uncertainty and financial markets model and supports the ideas of economic risk, investor sentiment, and market strangeness. The data corroborate the Economic Uncertainty Hypothesis (Pastor & Veronesi, 2013), which posits that elections and policy reforms boost risk premiums and lower stock returns. This study shows that economic developments strongly influence stock markets. economical instability increases market volatility and lowers stock returns, the theory says. Fama-MacBeth cross-sectional regression, quantile regression, and portfolio tests show that risky, speculative equities with high idiosyncratic volatility, positive skewness, and extreme returns underperform in unstable Election riskaversion pulls investments from risky to safe stocks. Due to policy uncertainty, investor sentiment varies, making momentum strategies less effective and market trends more unpredictable. The findings confirm behavioral finance theory, showing that investors overreact to macroeconomic and other economic risks, thereby creating market inefficiencies. 799 Online ISSN: 3006-2047 Print ISSN: 3006-2039 The findings emphasize liquidity and aggressive investing during periods of economic instability. Amid economic uncertainty, high-turnover shares outperform, suggesting that investors favor market-adaptable assets. No size or book-to-market effect makes economic risk a market element, not a stock factor. The findings emphasize the importance of risk management during economic uncertainty, which policymakers and investors need. Avoiding speculative, volatile equities and picking liquid, wellfounded assets may help investors prevent election losses. Economic stability and policy clarity during elections reduce uncertainty and boost investor confidence. This thesis adds to economic risk and stock market studies by showing how elections affect investor choices and risk attitudes. Economic transition poses systemic risks that investors and portfolio managers must consider, according to a study. Use sophisticated econometric models to study time-varying economic risk, investor mood before and after elections, and policy-setting implications on market movements. Economics and behavioral finance can benefit from examining how economic risk shapes global financial markets. References: Adil, M., Singh, Y., Subhan, M., Saleh Al-Faryan, M. A., & Ansari, M. S. (2023). Do trust in financial institution and financial literacy enhances intention to participate in stock market among Indian investors during COVID-19 pandemic?. Cogent Economics & Finance, 11(1), 2169998. Agarwal, V., Aslan, H., Huang, L., & Ren, H. (2022). Political uncertainty and household stock market participation. Journal of Financial and Quantitative Analysis, 57(8), 2899-2928. Akbar, U. S., & Bhutto, N. A. (2023). Weak Form Market Efficiency: Evidence from Developing and Emerging Markets". International Research Journal of Management and Social Sciences, 4(3), 211-224. Aleemi, A. R., Javaid, F., & Hafeez, S. S. (2023). Finclusion: The nexus of Fintech and financial inclusion against banks' market power. Heliyon, 9(12). Alim, W., Khan, N. U., Zhang, V. W., Cai, H. H., Mikhaylov, A., & Yuan, Q. (2024). Influence of political stability on the stock market returns and volatility: GARCH and EGARCH approach. Financial Innovation, 10(1), 139. Ang, A., Shtauber, A. A., & Tetlock, P. C. (2013). Asset pricing in the dark: The cross-section of OTC stocks. The Review of Financial Studies, 26(12), 29853028. Aras, A. (2025). Solution to the Equity Premium Puzzle with Time Varying Variables. arXiv preprint arXiv:2508.17996. Azmeh, C., & Al-Raeei, M. (2025). Financial development, research in finance, and economic growth. Cogent Economics & Finance, 13(1), 2448220. Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The journal of finance, 61(4), 1645-1680. Bali, T. G., Subrahmanyam, A., & Wen, Q. (2021). The macroeconomic uncertainty premium in the corporate bond market. Journal of Financial and Quantitative Analysis, 56(5), 1653-1678. 800 Online ISSN: 3006-2047 Print ISSN: 3006-2039 Chen, C. T., & Lin, M. J. (2025). The Economic Consequences of Lower Retail Trading Costs. Cumming, D., Meoli, M., & Vismara, S. (2021). Does equity crowdfunding democratize entrepreneurial finance?. Small business economics, 56(2), 533552. Devulapally, N. K., & Tripurana, T. N. D. (2023). Physical momentum in the Indian stock market. arXiv preprint arXiv:2302.13245. Douagi, F. W. B. M., Chaouachi, O., & Sow, M. (2021). The portfolio management: investigation of the Dwiyanti, N. A., & Purnamasari, P. E. (2023). The role of financial literacy, self-efficacy, and religiosity on financial behavior in the moderation of saving behavior. Assets: Jurnal Ekonomi, Manajemen dan Akuntansi, 13(1), 140-152. Eboigbe, S. U., & Modugu, K. P. (2018). Stock market reaction to election cycles: the Nigerian experience. Journal of Accounting and Finance in Emerging Economies, 4(1), 63-76.' Fama-French five-and six-factor asset pricing models. Polish Journal of Management Studies, 23(1), 106-118. Fama, E. F., & French, K. R. (2020). Comparing cross-section and time-series factor models. The Review of Financial Studies, 33(5), 1891-1926. Feder-Sempach, E., Szczepocki, P., & Bogołębska, J. (2024). Global uncertainty and potential shelters: gold, bitcoin, and currencies as weak and strong safe havens for main world stock markets. Financial Innovation, 10(1), 67. Gavrilakis, N., & Floros, C. (2023). ESG performance, herding behavior and stock market returns: evidence from Europe. Operational Research, 23(1), 3. Ghani, M., & Ghani, U. (2024). Economic policy uncertainty and emerging stock market volatility. Asia-Pacific Financial Markets, 31(1), 165-181. Hoque, M. E., & Zaidi, M. A. S. (2020). Impacts of global economic policy uncertainty on emerging stock markets: Evidence from linear and non-linear models. Prague Economic Papers, 29(1), 53-66. Ishak, M. S. I. (2023). Risk-Taking in Islamic Debt Financing: Maqasid Perspective. Journal of Management and Muamalah, 13(2), 1-11. Jabeen, S., Farhan, M., Zaka, M. A., Fiaz, M., & Farasat, M. (2022). COVID and world stock markets: A comprehensive discussion. Frontiers in psychology, 12, 763346. Jiang, G., Qiao, G., Wang, L., & Ma, F. (2024). Hybrid forecasting of crude oil volatility index: The cross‐market effects of stock market jumps. Journal of Forecasting, 43(6), 2378-2398. Kahneman, T. (1979). D. kahneman, a. tversky. Prospect theory: An analysis of decisions under risk, 263-291. Kashif, U., Shi, J., Naseem, S., Ayaz, M., Butt, R. S., Khan, W. A., & Al-Faryan, M. A. S. (2023). Do agricultural commodity prices asymmetrically affect the performance of value-added agriculture? Evidence from Pakistan using a NARDL model. Humanities and Social Sciences Communications, 10(1), 1-9. 801 Online ISSN: 3006-2047 Print ISSN: 3006-2039 Khan, K., & Ejaz, D. (2024). Demystifying Financial Speculation in Commodity Future Markets of Emerging Economies. Bulletin of Business and Economics (BBE), 13(3), 156-164. Khan, F., & Jan, S. (2022). Portfolio Diversification Across Islamic Vs. Conventional Banks: The Role of Macroeconomic Fundamentals in Stock Volatility. Journal of Islamic Business and Management (JIBM), 12(02). Lastauskas, P., & Nguyen, A. D. M. (2023). Global impacts of US monetary policy uncertainty shocks. Journal of International Economics, 145, 103830. Lee, K. Y. M., Jais, M., & Chan, C. W. (2020). Impact of covid-19: Evidence from malaysian stock market. International Journal of Business and Society, 21(2), 607-628. Li, Z., Kuo, T. H., Siao-Yun, W., & Vinh, L. T. (2022). Role of green finance, volatility and risk in promoting the investments in Renewable Energy Resources in the post-covid-19. Resources Policy, 76, 102563. Lobo, S., & Bhat, G. (2021). Risk return analysis of selected stocks of Indian financial sector. International Journal of Case Studies in Business, IT, and Education (IJCSBE). Maghdid, R. S., Kareem, S. M., Salih Hama, Y., Waris, M., & Naveed, R. T. (2024). Moderating role of political stability and economic policy uncertainty between country governance practice and stock market performance. A comparative analysis of Pakistan and Kurdistan Region of Iraq. Plos one, 19(4), e0301698. Michalak, R. (2021). The Methodist Church in Poland: Activity and Political Conditions, 1945–1989. Routledge. Mittal, A., & Sahoo, S. (2020). A Case for Legalizing Poker in the Age of Artificial Intelligence: An International Perspective on Gambling and Betting Laws. Gaming Law Review, 24(5), 331-336. Moaaz, R., & Mansour, S. (2025). The formalization of the Egyptian informal sector: a behavioral and experimental approach. Review of Economics and Political Science, 10(3), 206-221. Pástor, Ľ., & Veronesi, P. (2020). Political cycles and stock returns. Journal of Political Economy, 128(11), 4011-4045. Rosa, W, D, L., Sussman, A. B., Giannella, E., & Hell, M. (2022). Communicating amounts in terms of commonly used budgeting periods increases intentions to claim government benefits. Proceedings of the National Academy of Sciences, 119(37), e2205877119. Roy, R., & Shijin, S. (2018). A six-factor asset pricing model. Borsa Istanbul Review, 18(3), 205-217. Sajjad, F., Ahmed, F., Shahzad, K., & Hina, M. (2025). The Impact Of Lottery Demand On the Stock Market Through Political Transitions: A Case Study Of Pakistan (PSX). Advance Journal of Econometrics and Finance, 3(3), 393-406. Salisu, A. A., & Raheem, I. (2020). The COVID-19 global fear index and the predictability of commodity price returns. Journal of behavioral and experimental finance, 27, 100383. 802 Online ISSN: 3006-2047 Print ISSN: 3006-2039 Srivastava, M., & Rathee, S. (2022). Additive manufacturing: Recent trends, applications and future outlooks. Progress in Additive Manufacturing, 7(2), 261-287. Su, H., Yao, Y., Wang, X., & Zheng, X. (2021). Modulating the activity of right temporo-parietal junction increases bidding behavior in lottery contests. Neuroscience Letters, 757, 135875. Syed, A. A. S., & Fatima, K. (2021). The impact of COVID-19 on stock market volatility in Pakistan. arXiv preprint arXiv:2103.03219. Tariq, A., Batool, A., Liaqat, S., & Khan, I. H. (2025). Institutions, Corruption and Economic Development: PLS-SEM Analysis. Journal of Political Stability Archive, 3(3), 1351-1374. Tauseef, S. (2020). Sentiment and stock returns: A case for conventional and Islamic equities in Pakistan. Business & Economic Review, 12(3), 1-22. Usman, B., Hasnam, M. G., Nurazi, R., & Aujirapongpan, S. (2024). Exploring investor attention in Shariah markets, macroeconomic influences, and corporate performance: Insights from Indonesia. Social Sciences & Humanities Open, 10, 101015. Vamossy, D. F. (2025). Social media emotions and IPO returns. Journal of Money, Credit and Banking, 57(1), 31-67. Wang, L., Liang, J., & Wang, B. (2024). Population aging and sustainable economic development: An analysis based on the role of green finance. Finance Research Letters, 70, 106239. Wen, F., Cao, J., Liu, Z., & Wang, X. (2021). Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets. International Review of Financial Analysis, 76, 101772. Younis, I., Longsheng, C., Basheer, M. F., & Joyo, A. S. (2020). Stock market comovements among Asian emerging economies: A wavelet-based approach. Plos one, 15(10), e0240472. Zhang, T., Song, M., Li, K., & Liu, Z. (2021). Lottery preference and stock market return: Chinese evidence using daily and provincial data. Applied Economics Letters, 28(18), 1582-1588.