Stock Market Responses to Monetary and Fiscal Policies

2022 ◽  
pp. 266-282
Author(s):  
Elif Erer ◽  
Deniz Erer

This study analyzes the short-run and long-run effects of interaction between fiscal and monetary policies on stock market performance in four emerging Asian economies, which are China, India, Indonesia, and Malaysia, by using ARDL model. The study covers the period of 2003:Q1-2020:Q1. The findings from this study show monetary and fiscal policies play an important role in determining stock market returns. Also, the results theoretically support Richardian neutrality hypothesis for China and Indonesia, Keynesian positive effect hypothesis for India, and classical crowding out effect hypothesis for Malaysia, and interest channel of monetary transmission mechanism only for China.

2020 ◽  
Vol 2 (2) ◽  
pp. 161-176
Author(s):  
Opoku Adabor ◽  
Emmanuel Buabeng

Monetary policy, foreign direct investment, and the stock market continue to dominate in discussions in developing countries. However, the linkage between the three variables in empirical literature remains unclear. This study aims to test two separate hypotheses: Firstly, the study examines the effects of monetary policy on stock market performance in Ghana. Secondly, the study also empirically investigates the effect of foreign direct investment on stock market performance in Ghana. Autoregressive Distributed Lag (ARDL) model was employed as an estimation strategy to examine the short and long-run effects using annual time series data from 1990 to 2019. The study revealed that monetary policy rate and money supply exerts a statistically significant negative and a positive effect on stock market performance in both the long and short-run in Ghana, respectively. It was also found that foreign direct investment has significant and a positive effect on stock market performance in Ghana in both the long and short run. Total capital stock and volume traded were also found to exert significant positive and negative impacts on stock market performance both in the short and long run respectively. Based on our findings, we recommend that expansionary monetary policy will be a better option to be carried out to improve the stock market performance in Ghana. Furthermore, government and private partnership may ensure the effective management of the macroeconomic variables to attract foreign direct investment into Ghana to boost stock market performance.


2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik

Abstract The paper investigates the effect of exchange and inflation rate on stock market returns in India. The study uses monthly, quarterly and annual inflation and exchange rate data obtained from the RBI and market returns computed from the Indian share market index from January, 2000 to June, 2020.The paper uses the autoregressive distributed lag (ARDL) co-integration technique and the error correction parametization of the ARDL model for investigating the effect on Indian Stock markets. The GARCH and its corresponding Error Correction Model (ECM) were used to explore the long- and short-run relationship between the India Stock market returns, inflation, and exchange rate. The paper shows that there exists a long term relationship but there is no short-run relationship between Indian market returns and inflation. But, there is periodicity of inflation monthly considerable long run and short-run relationship between them existed. The outcome also illustrates a significant short-run relationship between NSE market returns and exchange rate. The variables were tested for short run and it was significantly shown the positive effects on the stock market returns and making it a desirable attribute of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.


2017 ◽  
Vol 9 (8) ◽  
pp. 40
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire

Debate on the stochastic behaviour of stock market returns, 3-month Treasury Bills rate, lending rate and their cointegrating residuals remains unsettled. This study examines the stochastic properties of the macroeconomic variables, stock market returns and their cointegrating residuals using an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model. It also investigates Granger causality between the two measures of interest rate and stock market returns. The study uses monthly data from 1st January 1993 to 31st December 2015. The results indicate that the 3-month Treasury Bills rate, lending rate and stock market returns are fractionally integrated which implies that shocks to the variables persist but eventually disappear. The results also reveal that the cointegrating residuals are fractionally integrated which suggests that a new and harmful long-run equilibrium might be established when each of the measures of interest rate is driven away from stock market returns. Additionally, the results indicate that the 3-month Treasury Bills rate and lending rate negatively Granger cause stock market returns in the long run. This suggests that stocks and Treasury Bills are competing investment assets. On the other hand, ARFIMA-based Granger causality reveals that stock market returns lead the 3-month Treasury Bills rate and lending rate with a negative sign in the short run. This implies that a prosperous stock market results into a favorable macroeconomic environment. A key contribution of this study is that it is the first to empirically examine fractional cointegration and ARFIMA-based Granger Causality between interest rate and stock market returns in Kenya.


2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari

This paper examines the impact of fluctuations in the price of oil on Kuwaiti stock market returns for the month-to-month period of 2000 to 2020. The Augmented Dickey-Fuller (ADF) test for stationarity, the error correction model (ECM), and various cointegration test techniques were used to examine the estimated model. In an oil-based economy like Kuwait, the exposure to oil prices seems to affect the performance of the country’s stock market. Our main findings related to the long run showed that the price of oil is cointegrated with stock market returns. Interestingly, our ECM examination confirmed that changes in Kuwaiti stock market returns are only affected by oil price fluctuations in the short run. Further strategies are needed to better stabilize Kuwait’s capital market. This equilibrium can be achieved by pursuing more stability in other macroeconomic factors and providing a solid legal independence for the country’s financial market.


Author(s):  
Charles Kwofie ◽  
Richard Kwame Ansah

The study examined the effect of exchange rate and inflation on stock market returns in Ghana using monthly inflation and exchange rate data obtained from the Bank of Ghana and monthly market returns computed from the GSE all-share index from January 2000 to December 2013. The autoregressive distributed lag (ARDL) cointegration technique and the error correction parametization of the ARDL model were used for examining this effect. The ARDL and its corresponding error correction model were used in establishing the long- and short-run relationship between the Ghana Stock Exchange (GSE) market returns, inflation, and exchange rate. The result of the study showed that there exists a significant long-run relationship between GSE market returns and inflation. However, no significant short-run relationship between them existed. The result also showed a significant long- and short-run relationship between GSE market returns and exchange rate. The variables were tested for long memory and it was observed that such property did exist in these variables, making it a desirable feature of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.


2019 ◽  
Vol 5 (2) ◽  
pp. 89-102
Author(s):  
Johnson Worlanyo Ahiadorme ◽  
Emmanuel Sonyo ◽  
Godwin Ahiase

The study utilized time series analysis models and employed the Johansen’s cointegration procedure and the vector error correction model to examine the short-run and long-run dynamics of the relationship between interest rates and stock market returns. The results of this study show that contrary to popular evidence from extant research, interest rate changes positively and significantly affect stock market returns in the long run and the deviation from the long-run equilibrium is corrected each period following a shock to the stock market in the short run. The positive linkages between interest rate changes and stock market outturns may be explained by the relative strength of banking stocks on the Ghana Stock Exchange. The analysis shows that as the long-run equilibrium is approached, the deviations in the short term decrease significantly.


2021 ◽  
Vol 5 (4) ◽  
pp. 69-80
Author(s):  
Aref Emamian ◽  
Nur Syazwani Mazlan

Objective – To explore the impacts of monetary and fiscal policies, the appropriateness of both policies and how the stock market is affected by their adoption and implementation in the United States (US). Hence, this study aims to determine the short and long run relationships between monetary and fiscal policies and stock market performance as well as establish potential factors and policies contributing to the highs and lows. Methodology/Technique – We use autoregressive distribution lag (ARDL) developed by Pesaran et al. (2001) to achieve the objective. In this study, annual time series data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, was used. Findings – The results show that both policies play a significant role in the stock market. We find a significant positive effect of real gross domestic product (RGDP) and the interest rate on the US stock market in the long run and significant negative relationship effect of the consumer price index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Novelty – As the US stock market heavily depends on the Tax Revenue in the short run, any changes in TR can impact on the US stock market considerably. Thus, shareholders can benefit from these results when they look at macroeconomic data in order to enhance their investment strategy. Type of Paper: Empirical. JEL Classification: E52; E62; G18 Keywords: ARDL; Monetary Policy; Fiscal Policy; The Stock Market in The United States. Reference to this paper should be made as follows: Emamian, A; Mazlan, N.S. 2021. Monetary-Fiscal policies and stock market performance: Evidence from linear ARDL framework, Journal of Business and Economics Review, 5(4), 69–80. https://doi.org/10.35609/jber.2021.5.4(7)


2021 ◽  
Vol 9 (1) ◽  
pp. 86-101
Author(s):  
Terver Theophilus Kumeka ◽  
Olabusuyi Rufus Falayi ◽  
Adeniyi Jimmy Adedokun

Abstract This paper investigates whether stock markets respond to disease pandemic referencing the case of COVID-19 in Nigeria. The paper employs three cointegrating regression models: Fully Modified Ordinary Least Squares, Dynamic Ordinary Least Squares, and Canonical Cointegrating Regression to analyse the effect of growth in total COVID-19 confirmed cases and related deaths in Nigeria and across the globe from 27 February 2020 to 4 September 2020 on the stock market performance. Key findings support the presence of long-run association between stock market returns and COVID-19 in Nigeria. The stock market is found to respond negatively to both domestic and global growths in total confirmed cases and deaths of COVID-19. Consequently, affected businesses in Nigeria should be assisted and bailed out by the government through practices such as tax filing, subsidies, targeted spending, and credit.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bijoy Rakshit ◽  
Yadawananda Neog

Purpose The purpose of this paper is to investigate the effects of exchange rate volatility, oil price return and COVID-19 cases on the stock market returns and volatility for selected emerging market economies. Additionally, this study compares the market performance in the emerging economies during the COVID-19 pandemic with the pre-COVID and global financial crisis (GFC) period. Design/methodology/approach The authors apply the arbitrage pricing theory to model the risk-return relationship between the risk-based factors (exchange rate volatility and COVID-19 cases) and stock market returns. By applying the exponential generalized autoregressive conditional heteroskedasticity model, the study captures the asymmetric volatility spillover from the stock markets to foreign exchange markets and vice versa. Findings Findings reveal that exchange rate volatility exerts a negative and significant effect on the market returns in Brazil (BOVESPA), Chile (S&P CLX IPSA), India (SENSEX), Mexico (S&P BMV IPC) and Russia (MOEX) during the coronavirus pandemic. Regarding the effect of oil price returns, the authors find a positive relationship between oil price and stock market returns across all the economies in the study. The market returns of Russia, India, Brazil and Peru appeared more volatile during the pandemic than the GFC period. Practical implications As the exchange rate volatility is causing higher risk and uncertainty in the stock market’s performance, the central bank’s effort to maintain a stabilizing effect on the exchange rate sale can be proven crucial for the economies under consideration. Emphasized should also be given to boost investors’ confidence in the stock market, and for this, the government policy actions in reducing the transmission of the disease are the need of the hour. Originality/value While a large volume of literature on stock market performance in times of COVID-19 has emerged from developed economies, this study adds to the literature by exploring the emerging economies’ stock market performance during the COVID-19 pandemic. Unlike previous literature, this study examines the volatility spillover between stock and exchange rate markets in the worst affected emerging economies during the crisis.


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