Asian Finance & Banking Review Vol. 5, No. 1; 2021 ISSN 2576-1161 E-ISSN 2576-1188 Published by CRIBFB, USA 1 DOES ELECTION IMPACT ON STOCK MARKET RETURNS IN BANGLADESH? Gourav Roy MBA Graduate Department of Finance University of Dhaka Dhaka, Bangladesh E-mail: gouravroy.du@gmail.com Md Atiqullah Khan MBA Graduate Department of Finance University of Dhaka Dhaka, Bangladesh E-mail: writetoatiq@gmail.com ABSTRACT This paper investigates the impact of parliamentary general election on the stock market returns by considering the previous fifteen days and the after fifteen days of each of six elections in Bangladesh held between 1991 and 2018. The study analyzed the election effect on stock returns through considering both abnormal returns by choosing 20 stocks as a proxy of portfolio motive of the investors and the broad index returns as a measurement of whole market scenario. The study employed descriptive statistics, t-tests, and F-tests to understand the impact of election by gauging the changes in return series. Descriptive statistics showed very high differences in means, standard deviations, and volatilities. Paired t-tests showed significant differences between the means and F-tests showed significant differences between the variances of the returns during before and after days of these elections. The results were the same for abnormal returns and broad index returns. The impacts of individual election on the returns were also found as the same in most cases. The study has found some very useful insights part of which can benefit the policymakers to reform the policies. The common investors and the financial market participants can also make better investment plan. Keywords: Election, Event study, Stock returns, DSE, Bangladesh. JEL Classification Codes: D72, G14, P48. INTRODUCTION Stock market is considered as the mirror of the economy of a country (Jensen, Mercer & Johnson, 1996). The growth of the stock market is also an evidence of economic progress of a country. The stock market determines how capital is formulating in the veins of a nation. Thus, the fluctuation or volatility of a stock market means a big thing to be concerned of for the https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 2 investors, government, and common people as well. Different economic and non-economic factors impact on it. Different political forces and political shifts play as very important factors for almost all the stock markets. The political events determine what will be the economic changes in the country for the future and the present. With this consideration, the parliamentary general election is a highly noticeable event that can highly impact on an economy including the stock market performance. Bangladesh is a country with having the total GDP of USD 313 billion (Haroon, 2020). Dhaka Stock Exchange (DSE) is the major stock exchange of Bangladesh with having over 383 companies and several bonds listed on it. The total market capitalization of it is about USD 59.32 billion (The Financial Express, 2021). As like other stock markets around the world, stock market of Bangladesh also gets influenced by different forces. As Bangladesh is a very politically indulged country and the economic decisions and financial activities are highly influenced by political decisions and structural planning of ruling government, so does the base of the study get motivation to dig a hole to know the impact of election on the stock market performances of Bangladesh. From the aspect of Bangladesh, the relation of stock market volatility with the election movements and events can also have strong correlations. Surely, it requires a high level of investigation to know whether there exists any relation between stock market returns and general election in Bangladesh. If it exists, then what the directions are that actually follow. Moreover, the investors are not properly aware of the growth stocks and value stocks and the political momentum with respect to these types of stocks. As the general elections determine who will be in governance for the next five years, the common investors and financial market participants always try to take a safe position before the general election. Sometimes the herd instinct of the investors makes the market too much volatile and also makes it go up too much imprudently or go down too much drastically. Thus, the background of the study is fully concentrated on analyzing the relationship between parliamentary general elections and stock market returns. This paper aims at fulfilling these objectives:  To understand whether there exists any relationship between parliamentary general election and stock market returns in Bangladesh.  To inform the common investors, financial market participants, and researchers about the election effect on the stock market returns of Bangladesh. The study incorporates the information for 29 years (1991-2018) to determine the election effect on the market performances. Dhaka Stock Exchange (DSE) has been considered as the proxy of stock exchanges in Bangladesh to avoid any repetitive information in the study. For structuring the data, the event window has been considered as the election date and the estimation window has been considered as the 15 days before the election and 15 days after the election as per the Market Model (MacKinlay, 1997) and the necessary key techniques of some steps that have been guided by (Kabiru, Ochieng, & Kinyua, 2015). The study has some limitations. The findings are based on historical information and not progressive in reality. There is no concrete evidence that the result of the study has the possibility of repetition in future. Due to the incongruence of data, 2001 election wasn’t taken into consideration in this study. Even though existence of these limitations, the study is believed to control the other corners to legitimately represent the accurate view of the implementation of the purpose of the study. https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 3 The studies and the findings conducted in previous researches are described in second part of this paper. The third part of the paper discusses about the data and methodology of the studies. The fourth part discusses about the analysis and findings and the last part includes conclusion and policy recommendations. Thus this paper completes the investigation of the impact of parliamentary election on stock market returns in Bangladesh. REVIEW OF LITERATURE There prevail some previous studies to understand the impact of general election on stock market performance. Some of the relevant literature reviews are discussed below: Niederhoffer, Gibbs and Bullock (1970) examined the stock market actions by considering the before and after the days and months of US presidential general elections to find out the connections between US political events and the US stock market movements which created many investigations and interests. Later, Jensen, Mercer & Johnson (1996) stated that the stock market gets influenced by the common investors’ behavior and trading strategies which are also influenced by the economic and political changes that take place in the country. Foerster and Schmitz (1997) in their study tried to focus on the US parliamentary general election cycles where there existed a concrete relation between stock markets and political event like PGE. The study not only covered the US stock markets but also covered the OECD countries. In this study, total 18 countries were considered and the spectrum of the study was from 1957 to 1966. The study showed that the pattern was existent between the variables. But the expectation that US stock markets would be mostly affected by this parliamentary general election and the other OECD countries would not be affected significantly was not true. The hypothesis was rejected in the sense that both the US countries and the OECD countries had similar sort of significance with respect to the parliamentary general election. Pantzalis, Stangeland, and Turtle (2000) tried to show some scrutiny on the stock market performance moving around the parliamentary general election on a national level and international scale of 33 countries and discovered that the criteria of Index Abnormal Returns (IARs) are usually having a significantly differentiating outcome near the fifteen days plus and minus the event. Booth and Booth (2003) analyzed the presidential mystery to advantage small capitalized stocks, where no noteworthy variance between the returns of large capitalized stocks during the regimes of both democratic and republican presidents. At the same time, Santa-Clara and Valkanov (2003) tried to find out some linkage between US parliamentary general election and US stock market movements. They focused on the study in a different angle from the previous researches. They focused on the capitalization of stocks and how the large and small stocks did perform under the event of parliamentary general election. They found that the large capitalized shares tended to perform better when the government of USA was taken over by the democratic parties. It has been seen that large-cap stocks and securities tended to get a 7% better result under the Democratic Parties of US. But the small stocks tended to get a better result of 22% than the normal cases under the Republican Parties. Later, Anderson, Malone & Marshall (2008) distinguished that the political impacts of USA are not as easy as it can be for other countries. The impacts and consequences are quite complicated. The governmental and political finance during the PGE is not clearly exposed in USA. That is why the common investors solely depend on the expansionary goals of the political candidates of USA and based on that they tend to take decisions where to invest and where to not. https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 4 Bialkowski, Gottschalk, and Wisniewski (2007) studied a case including 27 countries who were the members of OECD in which they tried to show some relation of national elections tempting to higher stock market volatility. Their experimental outcome of the research shows that investors (institutional and financial market participants) are still astounded by the ultimate casting of votes. Stock prices tend to react powerfully in response of this astonishment and momentarily raised levels of uncertainty. Irungu (2012) examined the stock data elements of parliamentary general election consequences under the announcement at the Nairobi securities exchange by means of the methodologies used in events study for the ten year periods from 1997 to 2007 and instituted that the CARs (Cumulatively Abnormal Returns) showed a dropping trend or function of movement in the periods before the announcement and a slower or a medium pattern increase after the event happening announcement representing to market receiving and reacting to the information in the investors’ confidence and stability in political balance. Menge, Mwangi, and Kimani (2014) detailed the outcome of parliamentary general election on stock market yields at the Nairobi Securities Exchange (NSE) implementing the methodology of the events studies that covered an eleven year periods from 2002 to 2013 which established the fact that that actual returns using the return series formula were pointedly higher before the event of elections but not so much higher after the event of election periods. The assumptions made out of the consequences that the expected returns as well as the market returns tend to show a specific movements of increase before the election but decrease or remain stagnant after the election. Here is the list of the findings of some studies regarding the research: Table 1. Evidences that Found Link between Elections and Stock Market Movements Event Researched by Impact on Stock Market before the Event Impact on Stock Market after the Event Existence of Relation 1987 GE*, UK Lehander and Lönnqvist (2011) British Telecom share price fell sharply. British Telecom share price moved up sharply. Existent Ten developed countries’ GEs Niederhoffer, Gibbs and Bullock (1970), Peel and Pope (1993) and Gemmil (1992) The broad index goes down before the election. The Broad Index went up after the election. Existent GEs of USA Booth and Booth (2003) The small stocks underperformed before election The small stocks over performed after elections Existent GEs of USA Hensel and Ziemba (1995), The large stock in USA had almost no impact before election The large stock in USA had almost no impact after election Non- Existent https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 5 GEs of USA Santa-Clara and Valkanov (2003) The large stocks performed better in democratic presidency The large stocks performed better than before when democratic presidency continued Existent GEs of USA and impact on 18 OECD Countries Foerster and Schmitz (1997) There were huge downfall before presidency election in these eighteen countries’ stock exchanges Whether the stock index will go up or down depended on who is going to chair the presidency of USA Existent Study on New Zealand stock market due to GE. Cahan et al., (2005) Broad index goes up generally before election Broad Index goes down Existent 27 OECD Countries’ GEs and their respective stock exchanges Bialkowski, Gottschalk and Wisniewski (2007) Huge volatility among stocks; some move up and some down The stocks related to government financing tended to move up while the others faced negative changes Existent Belgium’s GE Vuchelen (2003) Huge volatility among stocks; some move up and some down The volatility tends to continue even after one month Existent Taiwan GE Hung (2011) Election cycle exists Fluctuation occurs after election Existent Nairobi Stock Exchange and GE in Kenya Irungu (2012) Stock index falls Stock Index rises Existent A study covering ten recent years tenure on Kenya Menge, Mwangi and Kimani (2014) Some selected twenty stocks had upward trend in returns Some selected twenty stocks had downward trend in returns. It was found of political finance involvement. Existent Note. *GE stands for General Election The Table 1 shows that the research findings of the previous studies. In the above table, almost all of the relevant researches on the same interest fields have been discussed with their findings. It is seen that almost in every study the impact of general election on stock market movement is existent. But whether stock prices or, index returns will go up or down before or after the election was not determined. It’s evident that the impact of general election on stock market returns is existent. There has been so many researches that have been done on many countries including the USA, New Zealand, Kenya, Taiwan, UK, Belgium, European countries etc. But such types of https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 6 valuable and necessary analysis was yet to be institutionalized and published so far from the context of Bangladesh. Again, no such study has been done before that incorporated both the abnormal returns and the index returns separately to analyze both the portfolio and index based relationship analysis in this aspect. Thus, this paper has been designed to complete this research gap. DATA AND METHODOLOGY Data The study required stock price data and broad index data for the period of 1991-2019 which were collected from Dhaka Stock Exchange website ("Dhaka Stock Exchange", 2019). For the analysis of data, MS Excel and Stata software were used. Methodology To understand the impacts of election on stock market returns in Bangladesh, this research followed the perspective of the motive of general investors and the perspective of whole stock market scenario. The research fully concentrated on event studies and thus the research followed the methodologies of event studies. The study followed these steps for analyzing the data: Step 1: Identification of event interest and event window The study considered six out of seven parliamentary general elections held in Bangladesh during 1991 to 2018 to discover something not investigated before. The Table 2 given below summarized the elections and the event windows: Table 2. The Data Structure of the Event and Estimation Period for the Study Election Pre-event window Event date Post-event window Old govt. New govt. 1991 before 15 days 27 February, 1991 after 15 days JP BNP 1996a before 15 days 15 February, 1996 after 15 days BNP BNP 1996b before 15 days 12 June, 1996 after 15 days BNP BDAL 2008 before 15 days 29 December, 2008 after 15 days BNP BDAL 2014 before 15 days 5 January, 2014 after 15 days BDAL BDAL 2018 before 15 days 30 December, 2018 after 15 days BDAL BDAL Note: Here, JP, BNP, and BDAL stand for Jatiya Party, Bangladesh Nationalist Party, and Bangladesh Awami League respectively Step 2: Selection of the firms for constructing investment portfolio The study on analyzing the impact of general elections on the abnormal returns of stock market of Bangladesh required to select some stocks listed on DSE from portfolio perspective that could replicate the stock market from 1991 to 2018. To meet this purpose, the proper selection of the stocks was very crucial to get in on a particular to the accurate results. https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 7 Table 3. List of Chosen 20 stocks form Diversified Industries Name of the Stock Respective Industry Listing Year 01. Eastern Cables Limited Engineering 1986 02. Monno Ceramics Industries Limited Ceramics 1983 03. Investment Corporation of Bangladesh NBFIs 1977 04. United Insurance Limited Insurance 1990 05. Padma Oil Company Limited Fuel & Power 1976 06. Bata Shoe Company (Bangladesh) Limited Tannery 1985 07. Sonali Aansh Industries Limited Jute 1985 08. Heidelberg Cement Bangladesh Limited Cement 1989 09. Stylecraft Limited Textiles 1983 10. Olympic Industries Limited Food and Allied 1989 11. National Tea Company Limited Food and Allied 1979 12. Beximco Pharmaceuticals Limited Pharmaceuticals and Chemicals 1986 13. Ambee Pharmaceuticals Limited Pharmaceuticals and Chemicals 1986 14. Kohinoor Chemicals Company (Bangladesh) Limited Pharmaceuticals and Chemicals 1988 15. The City Bank Limited Banking 1986 16. Uttara Bank Limited Banking 1984 17. United Commercial Bank Limited Banking 1986 18. Usmania Glass Sheet Factory Limited Miscellaneous 1987 19. GQ Ball Pen Industries Limited Miscellaneous 1986 20. Bangladesh Export Import Company Limited (BEXIMCO) Miscellaneous 1989 The Table 3 shows the 20 stocks chosen from respective industries. The selected stocks were having their smooth existence from 1991 to 2018 so that the study could get enough data of the stock prices, dividends, right shares, splits, and bonus shares. Step 3: Adjustment of the price data To make the data authentic and free from different types of biasness, all the price data of these 20 stocks were adjusted as per cash dividends, stock splits, bonus share issue, right share issue, capital gains etc. Step 4: Calculation of total actual returns After that, the study computed the changes recorded in share prices to determine the actual return as per following formula: Actual Return of stock i in day t, AcRit=[(pt-pt-1)/pt-1] (1) https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 8 Where, Pt = The Price of a stock i in day t; and, Pt-1= The Price of stock i at previous trading day (t-1). Thus, total actual returns were calculated by summing all the returns from these 20 stocks through using this formula: Total Actual Returns in day t, TAcRt=(AcR1t + AcR2t + AcR3t + ……….………+ AcR20t) (2) Step 5: Calculation of market return series of broad index DSEX, the broad index of Dhaka Stock Exchange, has been chosen as a proxy of whole stock market. The return series of DSEX for 15 trading days before and 15 trading days after of each election have been calculated and used for testing the hypotheses to get the broad picture in case the analysis of abnormal returns fails to replicate the stock movements due to national election. The changes in the DSEX index for each day were computed denoted as the whole market return or index return as per following formula: Index Returns in day t, IRt=[(DSEXt-DSEXt-1)/DSEXt-1] (3) Here, DSEXt = the DSEX index in trading day t; And, DSEXt-1 = the DSEX index in previous trading day (t-1). Step 6: Calculating Abnormal Returns The research applied the formula to get abnormal returns: Abnormal Returns, ARt=( TAcRt - IRt) (4) Step 7: Calculation of Cumulative Abnormal Returns and Cumulative Index returns The cumulative return based analysis was carried on to move the discussion to ultimate culmination of result to inform how the general election has impact on the stock market movements from the aspect of Bangladesh. Thus, CARs (Cumulative Abnormal Returns) and Cumulative Index Returns (CIRs) were also calculated for farther analysis and graphical representations. Here, CARs and CIRs show the reaction of the investors before and immediately after the election event. The total 30-day CARs and CIRs provide a clear understanding of the market response for the election. The CARs and CIRs for each day were calculated as per following formulae: Here, CARt = ΣARt (5) Where, CARt is the Cumulative Abnormal Returns in day t. And, CIRt = ΣARt (6) Where, CIRt is the Cumulative Index Returns in day t. https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 9 Testing the Hypotheses and Models of the Study For the overall statistical techniques and their application and interpretation of the study, the following hypothesis hold for the entire study: H0: There exists no relationship between the election and stock market returns. H1: There exists relationship between the election and stock market returns. In this step, three statistical techniques that have been used to apply with their respective hypotheses to prove the main hypothesis of the study and these are: Descriptive Statistics: The descriptive statistics helps to find out the essential information about the means, standard deviation, minimum and maximum of dataset. This information is necessary to know the ranges, volatility levels, and fluctuation extents of the return series data for both before and after the elections to compare the differences. Paired t-Tests: The paired t-test helps to test the hypothesis that whether there exists any significant difference between the means of the datasets of before and after the elections. For this t-test, the hypotheses are: H0: There exists no difference between the means of before election datasets and after election datasets. H1: There exists difference between the means of before election datasets and after election datasets. F-Tests: In this study, F-test has been used for checking the hypothesis of finding if there exists any significant difference between the variances of the data sets. If the hypothesis is proved, it can be concluded that there exists a relation between election and stock market returns. The hypotheses are: H0: There exists no difference between the variances of the before election datasets and after election datasets. H1: There exists difference between the variances of the before election datasets and after election datasets. With 90% confidence interval, all of the datasets for both individual election and altogether are to be statistically tested to get to the ultimate decision with holding the hypothesis. ANALYSIS AND FINDINGS This part of analysis has completely focused on the findings received through analyzing the data of abnormal returns and index returns. All the analysis was carried on to move the discussion to ultimate culmination of result to inform how the general election has impact on the stock market returns from the aspect of Bangladesh. Descriptive Statistics The descriptive statistics of the abnormal returns shown on Table 4 indicate that differences between the means of the returns of before and after each election are very high, the standard https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 10 deviations of the abnormal returns in case of the after elections are higher than the abnormal returns of before elections in most cases. The minimum and maximum values have huge differences representing high volatilities due to election effects. Table 4. Descriptive Statistics of the Abnormal Returns Election Obs Mean Standard Deviation Minimum Maximum Before After Before After Before After Before After 1991 15 -0.1385 0.1422 0.099 0.180 -0.376 -0.422 -0.011 0.326 1996a 15 -0.0420 0.3278 0.239 0.288 -0.559 -0.116 0.404 0.921 1996b 15 -0.0571 0.3162 0.338 0.413 -0.483 -0.222 0.707 1.486 2008 15 -0.1478 0.1946 0.383 0.476 -0.914 -0.779 0.427 0.847 2014 15 -0.1063 0.0429 0.203 0.152 -0.428 -0.250 0.127 0.290 2018 15 -0.0013 0.2000 0.454 0.498 -0.304 -0.226 1.593 1.849 All elections 90 -0.0822 0.2040 0.305 0.365 0.914 -0.779 1.593 1.849 Here, the means of abnormal returns representing the general motive of the investors are - 0.0822 or, -8.22% before all the elections and 0.2040 or, 20.40% after all the elections. It also shows that the mean of abnormal returns after election was always higher than the mean of abnormal returns before election in each election. It’s evident that the stock market performs worse before the election and does better after the election through considering abnormal returns. The standard deviation, minimum and maximum limits of the data also describe the findings. Table 5. Descriptive Statistics of the Index Returns Election Obs Mean Standard Deviation Minimum Maximum Before After Before After Before After Before After 1991 15 0.0002 0.0026 0.001 0.007 -0.002 -0.001 0.003 0.027 1996a 15 0.0008 0.0033 0.007 0.005 -0.012 -0.006 0.019 0.011 1996b 15 0.0019 0.0046 0.007 0.011 -0.015 -0.016 0.011 0.032 2008 15 0.0014 0.0032 0.016 0.024 -0.039 -0.029 0.030 0.070 2014 15 -0.0002 0.0066 0.007 0.006 -0.009 -0.006 0.014 0.014 2018 15 -0.0014 0.0034 0.002 0.008 -0.005 -0.008 0.002 0.024 All elections 90 0.0004 0.0039 0.008 0.012 -0.039 -0.029 0.030 0.070 The descriptive statistics of broad index returns represented as whole market scenario shown on Table 5 indicate that differences between the means of the index returns of before and after each general election are very high, the standard deviations of the returns in case of the after elections are higher than the index returns of before elections in most cases. The minimum and maximum values have huge differences representing high volatilities due to election effects. The https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 11 means of index returns representing whole market scenario are -0.0004 or, -0.04% before all the elections and 0.0039 or, 0.39% after all the elections. It also shows that the mean of index returns after election was always higher than the means of index returns before election in each election. It’s evident that the stock market performs worse before the election and does better after the election under whole market scenario too. The standard deviation, minimum and maximum limits of the data also summarize the findings. Graphical Representation of the CARs and CIRs The Cumulative Abnormal Returns (CARs) and the Cumulative Index Returns (CIRs) provide the understanding of the trends of the abnormal returns and the index returns. The trends of CARs and CIRs with graphical representation are shown below: -3 -2 -1 0 1 2 3 -15 -10 -5 0 5 10 15 1991 CARs -0.01 0.00 0.01 0.02 0.03 0.04 0.05 -15 -10 -5 0 5 10 15 1991 CIRs -1 0 1 2 3 4 5 6 -15 -10 -5 0 5 10 15 1996a CARs -0.02 -0.01 0.00 0.01 0.02 0.03 0.04 0.05 0.06 -15 -10 -5 0 5 10 15 1996a CIRs -2 -1 0 1 2 3 4 5 6 -15 -10 -5 0 5 10 15 1996b CARs -0.04 -0.02 0.00 0.02 0.04 0.06 0.08 0.10 -15 -10 -5 0 5 10 15 1996b CIRs https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 12 Figure 1. Trends of the curves of CARs and CIRs as per each election In each of the charts shown on Figure 1, left side of vertical line shows the cumulative returns for the previous fifteen trading days of election and right side of vertical line shows the cumulative returns for the after fifteen trading days of election. Except the chart of 2008 CIRs, all the curves shown on Figure 1 indicate the gradual decline in cumulative returns before the elections and the gradual increase in cumulative returns after the elections. It’s true for both the cumulative abnormal returns and cumulative index returns. Thus, it’s an evidence of the significant impact of election on stock returns in Bangladesh from both the portfolio motive of the investors and the whole market scenario. Paired t-Test results for Abnormal Returns and Index Returns The paired t-test results of the abnormal returns in Table 6 show that there exist significant differences between the means of the returns of before and after days of all the elections. It also -3 -2 -1 0 1 2 3 4 5 -15 -10 -5 0 5 10 15 2008 CARs -0.06 -0.04 -0.02 0.00 0.02 0.04 0.06 0.08 0.10 -15 -10 -5 0 5 10 15 2008 CIRs -2 -2 -1 -1 0 1 1 2 -15 -10 -5 0 5 10 15 2014 CARs -0.05 0.00 0.05 0.10 0.15 -15 -10 -5 0 5 10 15 2014 CIRs -1 0 1 1 2 2 3 3 4 -15 -10 -5 0 5 10 15 2018 CARs -0.04 -0.02 0.00 0.02 0.04 0.06 0.08 -15 -10 -5 0 5 10 15 2018 CIRs https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 13 proves that in the overall case of test analysis, there exist significant difference between the means. Thus, the null hypothesis could be rejected. It means the average of abnormal returns before the election get changed after the election. Table 6. Paired t-Test Results Election Paired t-test (Abnormal Returns) Paired t-test (Index Returns) t value Two-tailed p value (90% confidence interval) t value Two-tailed p value (90% confidence interval) 1991 -4.5413* 0.001 -1.2721 0.224 1996a -5.5357* 0.000 -1.2396 0.236 1996b -2.6801* 0.018 -0.675 0.511 2008 -1.8596* 0.084 -0.1953 0.848 2014 -2.5085* 0.025 -3.4409* 0.004 2018 -3.2762* 0.006 -2.3683* 0.033 All elections -6.5839* 0.000 -2.0041* 0.048 Note: Here ‘*’ indicates significant The paired t-test results of the index returns shown on Table 6 show that except for 1991, 1996a, 1996b, and 2008 general elections, all the other elections showed significant relationship between general elections and stock market movements. The test showed that in the overall case of test analysis, there existed significant difference between the means. Thus, here the null hypothesis could be rejected too. The way of justification as like the findings through analyzing abnormal returns and the proper reasoning behind the acceptance of null hypothesis in 1991, 1996a, 1996b, and 2008 individual general election under index returns are that the DSEX index was getting the lower category and poor quality of stocks offsetting the real moves that were faced by the stocks chosen for calculating abnormal returns thus veiling the true information. F-Test results for Abnormal Returns and Index returns The F-test is used for checking the hypothesis of finding if there exist any significant differences between the variances of the data sets. If the hypothesis is proved, it can be concluded that there exists a relation between election and stock returns. Table 7. F-Test Results Election F Test (Abnormal Returns) F Test (Index Returns) F value p value (90% confidence interval) F value p value (90% confidence interval) 1991 0.3024* 0.033 0.0303* 0.000 1996a 0.6896 0.496 2.3071 0.130 1996b 0.6676 0.459 0.373* 0.075 2008 0.647 0.425 0.4426 0.139 https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 14 2014 1.7902 0.288 1.3381 0.593 2018 0.832 0.736 0.0789* 0.000 All elections 0.7015* 0.096 0.4646* 0.000 Note: Here ‘*’ indicates significant The F-Test results of the abnormal returns in Table 7 show that there were significant differences of the variances between the datasets. Only 1991 election accepted the null hypothesis. The F-Test of the index returns show that there were significant differences of the variances between datasets. Only 1991, 1996b, and 2018 elections accepted the null hypothesis. Summary of All the Findings So, from the above scrutiny and effective analyses of t-tests and F-tests, it can be concluded that the null hypothesis is rejected and the alternative hypothesis is accepted. It means that there exists a relationship between the election and stock market returns in Bangladesh. The study tested the stock returns and found that in every election time period, the stock prices have negative shift before the election while these have a direct opposite shift right after the election. The most election cases and the overall averages of the stock returns showed that the null hypothesis should be rejected. It has been assured with proper justification of charts and interpretations in the findings and interpretations. So, it can be summed into following key understanding and findings:  In case of index returns represented overall market scenario, the impacts of election on stock market is not as strong as we see in the case of the abnormal returns generated from chosen twenty stocks.  The reason behind this sloth sensitivity is that there exists lower categories of stocks in the market which have the tendency to move directly to the opposite to the market trend, thus causing an offsetting impact and leading to make the means loosely different.  In Bangladesh, the general election has negative consequences before the election and a positive consequence after the election on the stock returns.  The stock market confidence of the common investors is pretty low as they have a common tendency to sell off the securities in the fear of any political crisis or stock market mishaps. Thus, it can be concluded from overall analysis that the null hypothesis is rejected and alternative hypothesis indicate that there exists a relation between general election and stock returns in Bangladesh. CONCLUSION The stock market of Bangladesh is a pre-emerging market considered by most of the economists. It has been developing for many years in a fluctuating way, which sometimes creates risk and opportunities for some of the intermediaries who understand the functions of stock market in a better way. To identify the impact of general elections on stock market performance in Bangladesh, the study has been conducted by considering six national elections held between 1991 and 2018. This is an event study based research and the stock returns of previous 15 days and after 15 days of each election have been taken into analysis to gauge the impact of the election effect on the returns. The statistical analyses of the study including descriptive statistics, t-tests, and F-tests found that the general election strongly influences both the abnormal returns https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 15 representing the motive of general investors and index returns representing whole market scenario. The stock selection and industry selection criteria as a measurement of abnormal returns for the investment motive of general investors were made in such a way that made the stocks and industries to represent the stock market of Bangladesh from 1991 to 2018. The study has found some very interesting findings. To avoid any expectation loss, the investors should follow the trend and invest in stocks that are less susceptible to the election. The trend that has been observed in the study that the major stock prices or broad index tends to fall sharply before the election and goes up after the election. So, proper judgement should be made to take investment decision during this time. RECOMMENDATIONS For Policymakers The government and respected authorities regarding monetary and fiscal policies should incorporate some valuable issues in their actions. The market should be under proper surveillance all around the year and the speculating firms and stocks should be controlled under special policies by Bangladesh Securities and Exchange Commission. The speculative firms should be properly selected and updated time to time as per their performances so that the people become cautious of their trading and actions at the time of election. The limitation of fluctuation of the stock prices for any particular listed companies should be properly defined. The violation of fluctuating limit should be chastised by the authority. For Common Investors and Financial Market Participants There has been existence of some unnecessary and poor stocks in the stock market which creates imbalance in the stock market movements and expectations. The situation aggravates when this stocks go out of the market by leaving the investors bare handed during the apprehensive days election So, these poor and volatile stocks should not be let to be invested in the stock market of Bangladesh beyond a certain limit during election. The analysis of each individual election indicates that the stock prices of the market lead to go down before election and go up after election. Thus the common investors should not get panicked for selling the stocks right before the election time without any jurisdiction. They should wait and let the market recover after the election. It has been noticed from the common cases under the study that the recovery that takes place after the election is much higher than it was before the election. So, a holding strategy will surely benefit the common investors and financial market participants. The election effect on Bangladesh’s stock market should be added in literacy programs in national levels and higher secondary levels for educating the common investors about the stock market movements regarding parliamentary election days. The common investors should create such a diversified portfolio that will offset the probability of loss during elections. Thus, the following of these recommendations can be of some improvement against the volatility of the stock price before and after the election and thus, lead to a stable stock market in Bangladesh. REFERENCES Anderson, H., Malone, C., & Marshall, B. (2008). Investment returns under right- and left-wing governments in Australasia. 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APPENDICES Appendix A: List of Abnormal Returns and Index Returns Day Abnormal Returns Index Returns 1991 1996a 1996b 2008 2014 2018 1991 1996a 1996b 2008 2014 2018 -15 -0.075 0.313 -0.367 0.413 -0.388 1.593 0.000 -0.012 -0.003 -0.039 0.000 0.000 -14 -0.174 -0.103 -0.483 -0.626 -0.151 -0.110 0.001 0.001 0.006 0.002 0.001 0.001 -13 -0.056 -0.559 0.065 -0.914 0.068 -0.019 0.000 0.019 -0.002 0.020 -0.008 -0.004 -12 -0.376 0.165 0.096 -0.226 0.127 -0.029 0.000 -0.002 -0.003 -0.002 -0.004 -0.004 https://www.cribfb.com/journal/index.php/asfbr Asian Finance & Banking Review Vol. 5, No. 1; 2021 18 -11 -0.011 0.404 0.707 -0.190 0.068 -0.038 -0.001 0.000 -0.015 0.011 -0.002 0.001 -10 -0.162 -0.226 0.115 0.276 0.061 -0.092 0.002 0.001 -0.006 0.002 -0.007 -0.003 -9 -0.041 -0.076 0.601 -0.018 -0.006 -0.296 -0.002 0.000 0.002 -0.003 0.001 0.002 -8 -0.147 0.139 -0.250 -0.067 -0.343 -0.126 -0.001 -0.003 0.010 -0.012 0.010 0.001 -7 -0.139 0.042 -0.279 0.007 -0.076 -0.103 0.000 -0.005 0.011 -0.011 -0.006 0.000 -6 -0.025 0.012 -0.084 -0.202 0.015 -0.097 0.000 -0.004 0.000 0.016 -0.009 0.002 -5 -0.303 -0.014 -0.291 -0.467 0.074 -0.304 0.003 -0.003 0.007 0.030 -0.007 -0.002 -4 -0.130 -0.248 -0.229 0.427 0.060 0.006 -0.001 0.005 0.009 -0.002 0.002 -0.003 -3 -0.116 -0.156 -0.250 -0.588 -0.428 0.041 0.000 0.007 0.009 0.006 0.014 -0.003 -2 -0.154 -0.197 -0.001 -0.131 -0.356 -0.165 0.000 0.008 0.001 0.009 0.005 -0.005 -1 -0.170 -0.125 -0.208 0.091 -0.317 -0.281 0.002 -0.001 0.002 -0.008 0.007 -0.003 0 - - - - - - - - - - - - 1 0.325 0.616 0.222 -0.779 0.242 1.849 -0.001 0.001 0.013 0.070 0.002 0.002 2 0.217 0.208 -0.018 0.211 0.059 -0.128 -0.001 0.007 0.013 0.005 -0.006 0.024 3 -0.007 0.040 0.377 0.264 0.056 0.119 0.008 0.007 0.003 0.013 0.008 -0.008 4 0.180 0.736 0.085 0.716 -0.250 -0.011 0.000 0.001 0.005 -0.012 0.014 -0.001 5 -0.422 0.290 0.595 0.847 0.290 0.144 0.027 0.001 0.005 -0.018 0.004 0.005 6 0.247 0.503 0.081 0.251 0.124 -0.009 0.000 0.001 0.032 0.001 0.007 0.004 7 0.075 0.375 0.154 0.436 0.220 0.122 0.002 -0.006 0.007 -0.012 0.004 0.000 8 0.221 0.921 0.303 0.026 -0.126 0.079 -0.001 0.002 -0.001 -0.004 0.009 0.000 9 0.152 0.336 1.486 0.088 0.118 0.337 0.002 0.001 -0.014 0.003 0.006 -0.005 10 0.142 0.394 0.731 0.469 0.000 -0.107 0.000 0.007 -0.016 -0.005 0.010 0.006 11 0.205 -0.016 0.561 0.268 0.162 -0.226 0.001 0.010 -0.005 -0.006 -0.003 0.011 12 0.158 -0.116 0.249 0.312 -0.063 0.102 0.002 0.011 0.005 -0.008 0.008 0.013 13 0.230 0.078 -0.069 0.724 -0.089 -0.105 0.002 0.003 0.005 -0.029 0.012 0.006 14 0.083 0.425 -0.222 -0.769 -0.075 0.541 0.000 -0.002 0.008 0.038 0.013 0.000 15 0.326 0.127 0.207 -0.144 -0.026 0.294 0.000 0.005 0.009 0.012 0.012 -0.006 Copyrights Copyright for this article is retained by the author(s), with first publication rights granted to the journal. 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