한국 주식시장에서 시장 베타와 수익률 간의 관계에 대한 실증 분석 (An Empirical Analysis on the Relationship between Market Beta and Return on the Korean Stock Market)

2019 ◽  
Author(s):  
Seong Ju Hong ◽  
Sangsu Lim
Keyword(s):  
Stock Market ◽  
Empirical Analysis ◽  
Korean Stock Market ◽  
Market Beta ◽  
The Relationship

scholarly journals Periodic Analysis of the Relationship between Gold, Crude Oil, Exchange Rate and India’s Stock Market

2021 ◽  
Vol 2 (1) ◽  
pp. 28-43
Author(s):  
Dr. Anil Kumar Kanungo ◽  
Puneet Dang
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Empirical Analysis ◽  
Global Financial Crisis ◽  
Crisis Period ◽  
Periodic Analysis ◽  
Time Periods ◽  
The Impact ◽  
The Relationship

Purpose: The purpose of this paper is to find out the relationship between price of Gold, price of Crude Oil, Exchange Rate of India, and India’s stock market. The research has been done on Pre-COVID time periods to analyse the relationship in scenarios like pre-global financial crisis, during crisis and post crisis. The authors incorporate the data from pre-crisis phases i.e., 2005 to 2019, to find out the relationship between the variables using Granger causality test, Johansen’s Cointegration, and Vector Autoregression. To study the spill-over effect on India’s stock market, regression has been used. The empirical results indicate that for the Pre-Crisis and Post-Crisis periods, “Gold” does granger cause “USDINR”, for all three periods “Crude oil” does granger cause “Gold”, for the crisis and post crisis periods “Gold” does granger cause “Crude oil”, for the post crisis period “USDINR” does granger cause “Crude oil”. No other causality relationship was established with the help of this empirical analysis. Johansen’s cointegration test revealed that no cointegration exists amongst the three variables. The impact of exchange rate on India’s stock market has changed as compared to the previous time periods. Exchange rate was inversely related to the stock markets for the Pre-Crisis and Crisis periods and is directly related to the stock market for the Post-Crisis period. This study adds to the existing literature on the variables, by using phase wise data and performing empirical analysis to find out the relationship between the variables. Not many literature demonstrate together the relationship among these three variables in three different periods. This is a significant gap that the study aimed to address.

Periodic Analysis of the Relationship between Gold, Crude Oil, Exchange Rate and India’s Stock Market

2020 ◽  
Vol 2 (1-2) ◽  
pp. 28-43
Author(s):  
Anil Kumar Kanungo ◽  
Puneet Dang
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Empirical Analysis ◽  
Global Financial Crisis ◽  
Crisis Period ◽  
Periodic Analysis ◽  
Time Periods ◽  
The Impact ◽  
The Relationship

Purpose: The purpose of this paper is to find out the relationship between price of Gold, price of Crude Oil, Exchange Rate of India, and India’s stock market. The research has been done on Pre-COVID time periods to analyse the relationship in scenarios like pre-global financial crisis, during crisis and post crisis. The authors incorporate the data from pre-crisis phases i.e., 2005 to 2019, to find out the relationship between the variables using Granger causality test, Johansen’s Cointegration, and Vector Autoregression. To study the spill-over effect on India’s stock market, regression has been used. The empirical results indicate that for the Pre-Crisis and Post-Crisis periods, “Gold” does granger cause “USDINR”, for all three periods “Crude oil” does granger cause “Gold”, for the crisis and post crisis periods “Gold” does granger cause “Crude oil”, for the post crisis period “USDINR” does granger cause “Crude oil”. No other causality relationship was established with the help of this empirical analysis. Johansen’s cointegration test revealed that no cointegration exists amongst the three variables. The impact of exchange rate on India’s stock market has changed as compared to the previous time periods. Exchange rate was inversely related to the stock markets for the Pre-Crisis and Crisis periods and is directly related to the stock market for the Post-Crisis period. This study adds to the existing literature on the variables, by using phase wise data and performing empirical analysis to find out the relationship between the variables. Not many literature demonstrate together the relationship among these three variables in three different periods. This is a significant gap that the study aimed to address.

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