scholarly journals Nexus Between COVID-19 Infections, Exchange Rates, Stock Market Return, and Temperature in G7 Countries: Novel Insights From Partial and Multiple Wavelet Coherence

2021 ◽  
Vol 9 ◽  
Author(s):  
Sanjeet Singh ◽  
Pooja Bansal ◽  
Nav Bhardwaj ◽  
Anirudh Agrawal
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Exchange Rates ◽  
Wavelet Coherence ◽  
Market Returns ◽  
G7 Countries ◽  
Stock Market Returns ◽  
Market Return ◽  
Stock Market Return ◽  
Novel Coronavirus

This study attempts to analyze the time-varying pattern between the exchange rates, stock market return, temperature, and number of confirmed COVID-19 cases in G7 countries caused by the COVID-19 pandemic. We have implemented our analysis using wavelet coherence and partial wavelet coherence (PWC) on independent variables from January 4, 2021 to July 31, 2021. This paper contributes to the earlier work on the same subject by employing wavelet coherence to analyze the effect of the sudden upsurge of the COVID-19 pandemic on exchange rates, stock market returns, and temperature to sustain and improve previous results regarding correlation analysis between the above-mentioned variables. We arrived at the following results: 1) temperature levels and confirmed COVID-19 cases are cyclical indicating daily temperatures have a material bearing on propagating the novel coronavirus in G7 nations; 2) noteworthy correlations at truncated frequencies show that a material long-term impact has been observed on exchange rates and stock market returns of G7 and confirmed COVID-19 cases; 3) accounting for impact of temperature and equity market returns, a more robust co-movement is observed between the exchange rate returns of the respective nations and the surge in COVID-19 cases; and 4) accounting for the influence of temperature and exchange rate returns and the increase in the confirmed number of coronavirus-infected cases and equity returns, co-movements are more pronounced. Besides academic contributions, this paper offers insight for policymakers and investment managers alike in their attempt to navigate the impediments created by the coronavirus in their already arduous task of shaping the economy and predicting stock market patterns.

scholarly journals Macroeconomic Variables and Stock Market Returns in Sri Lanka

2017 ◽  
Vol 9 (2) ◽  
pp. 206
Author(s):  
Saseela Balagobei
Keyword(s):  
Exchange Rate ◽  
Sri Lanka ◽  
Stock Market ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Market Returns ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Market Return ◽  
Stock Market Return

The stock market is one of the most energetic sectors that play an important role in contributing to the wealth of the economy. It plays a crucial role in the economic growth and development of an economy which would benefit industries, trade and commerce as a whole. The aim of this study is to investigate the impact of macroeconomic variables on stock market returns in Sri Lanka. Dependent variable of this study is stock market return measured by All Share Price Index (ASPI) and All Share Total Return Index (ASTRI) and independent variables are macroeconomic variables, such as Interest Rate (IR), Inflation Rate (INF), Exchange Rate (ER), Factory Industry Production Index (FIPI) and money supply (MS).  The study targets all the companies listed and active in Colombo Stock Exchange (CSE) from 2006 to 2015. For analysis, secondary data was collected from annual reports of Central bank of Sri Lanka, Colombo Stock Exchange, Securities and Exchange Commission and Department of Census and Statistics. The results of the study reveal that the stock market returns is influenced by macroeconomic variables except money supply in Sri Lanka. Interest rate and factory industry production have negative influence on stock market return in Colombo Stock exchange while inflation rate and exchange rate have positive influence on stock market return. The findings of the study may be useful to public and economy especially stock market investors to focus the macroeconomic variables for making their effective decisions in order to enhance their stock market returns.

Effects of Exchange Rate, Interest Rate, and Inflation on Stock Market Returns Volatility in Nigeria

2019 ◽  
Vol 5 (6) ◽  
pp. 38-47 ◽  
Author(s):  
Izunobi Anthony Okechukwu ◽  
Nzotta Samuel Mbadike ◽  
Ugwuanyim Geoffrey ◽  
Benedict Anayochukwu Ozurumba
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Negative Relationship ◽  
Series Data ◽  
Market Returns ◽  
Stock Market Returns ◽  
Market Return ◽  
Stock Market Return ◽  
The Impact

This study employed GARCH (1.1) techniques to evaluate the existence of high stock market returns volatility, and the impact of the exchange rate, interest rate and inflation on stock market returns in Nigeria, using monthly series data from 1995 – 2014. Excessive volatility hinders the stock market from playing its role of Mobilizing, financial resources from surplus units to deficit units and may cause a financial crisis. The research finding shows that interest rate has a negative relationship with stock market returns, while the inflation rate and exchange rate have a positive relationship with stock market returns. The conclusion therefore is, there is high and persistent volatility in the Nigerian stock market returns. Exchange rate, interest rate, and inflation significantly impact stock market return volatility in Nigeria. The study recommends that regulatory authorities should take proactive steps to minimize stock market return in order to restore confidence in the market.

scholarly journals Oil Price Volatility and Stock Market Returns in an Emerging Economy: Evidence from Nigeria

2019 ◽  
Vol 3 (3) ◽  
pp. 193
Author(s):  
Ikponmwosa Michael Igbinovia
Keyword(s):  
Stock Market ◽  
Price Volatility ◽  
Oil Price ◽  
Series Data ◽  
Market Returns ◽  
Stock Market Returns ◽  
Market Return ◽  
Oil Price Volatility ◽  
Stock Market Return ◽  
Long Run

The study examines the reaction of the Nigerian stock market to fluctuations in the mainstay of the Nigerian economy. Using time series data sourced from OPEC website and the Central Bank of Nigeria (CBN) Statistical Bulletin, we investigate the effect of oil price volatility on stock market returns in Nigeria during the period 1981 to 2017. Co-integration test established the long run relationship between variables, while, the Error Correction Model (ECM) and Pair-Wise Granger Causality test were used to ascertain the short run dynamics and the direction of causality between the variables of interest. The findings reveal among other things that Oil Price Volatility (OPV) has a non-significant positive effect on Stock Market Return (SMR) both in the short and long run period.  Exchange Rate (EXR) and Interest rate (INT) were significant variables that influence stock market return in Nigeria during the period under review. 

Convergence of Returns on Chinese and Russian Stock Markets with World Markets: National and Sectoral Perspectives

2013 ◽  
Vol 223 ◽  
pp. R16-R34 ◽  
Author(s):  
Jan Babecký ◽  
Luboš Komárek ◽  
Zlatuše Komárková
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
The United States ◽  
Market Returns ◽  
Stock Market Returns ◽  
Market Return ◽  
Stock Market Return ◽  
World Markets ◽  
The Impact

Interest in examining the financial linkages of economies has increased in the wake of the 2008/9 global financial crisis. Applying the concepts of beta- and sigma-convergence of stock market returns, we assess changes over time in the degree of stock market integration of Russia and China with each other, as well as with respect to the United States, the Euro Area, and Japan. Our analysis is based on national and sectoral data spanning the period September 1995 to October 2010. Overall, we find evidence for gradually increasing convergence of stock market returns after the 1997 Asian financial crisis and the 1998 Russian financial crisis. Following a major disruption caused by the 2008/9 global financial crisis, the process of stock market return convergence resumes between Russia and China, as well as with world markets. Notably, the episode of sigma-divergence from the 2008/9 crisis is stronger for China than for Russia. We also find that the process of stock market return convergence and the impact of the recent crisis have not been uniform at the sectoral level, suggesting the potential for diversification of risk across sectors.

Relationship between Foreign Portfolio Investments (FPI), Domestic Institutional Investors, and Stock Market Returns in India

GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 1-9
Author(s):  
Dhananjaya Kadanda ◽  
Krishna Raj
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Negative Relationship ◽  
Trading Strategies ◽  
Market Returns ◽  
Stock Market Returns ◽  
Foreign Portfolio Investment ◽  
Stock Market Return ◽  
Indian Stock Market ◽  
Feedback Trading

The present article attempts to understand the relationship between foreign portfolio investment (FPI), domestic institutional investors (DIIs), and stock market returns in India using high frequency data. The study analyses the trading strategies of FPIs, DIIs and its impact on the stock market return. We found that the trading strategies of FIIs and DIIs differ in Indian stock market. While FIIs follow positive feedback trading strategy, DIIs pursue the strategy of negative feedback trading which was more pronounced during the crisis. Further, there is negative relationship between FPI flows and DII flows. The results indicate the importance of developing strong domestic institutional investors to counteract the destabilising nature FIIs, particularly during turbulent times.

scholarly journals Effects of Exchange Rate and Inflation Rate on Stock Market Returns Volatility in India.

2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Error Correction ◽  
Inflation Rate ◽  
Market Returns ◽  
Stock Market Returns ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

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.

Effects of the COVID-19 pandemic on stock market returns and volatilities: evidence from selected emerging economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bijoy Rakshit ◽  
Yadawananda Neog
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Emerging Economies ◽  
Market Performance ◽  
Exchange Rate Volatility ◽  
Oil Price ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
Stock Market Performance

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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