• 국제지역연구
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• 제13권2호
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• pp.255-276
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• 2009

본 연구는 미국, 일본 및 인도 증권시장에서의 수익률 및 변동성 간의 동태적인 상호작용에 관한 실증분석을 실시하였다. 이를 위하여 VAR모형에 기초를 둔 Granger 인과관계 분석 및 분산분해 분석을 실시하였으며 주요 실증분석 결과는 다음과 같다. 첫째, Granger인과관계 분석 결과 미국, 일본 및 인도 증권시장 사이에는 피드백적인 영향력을 미치고 있는 것으로 나타났으나, 미국 증시의 일본 및 인도 증시에 대한 영향력이 지배적인 것으로 나타났다. 둘째, 분산분해 분석 결과 인도 증시는 일본 보다 미국 증시로부터 상대적으로 더 많은 영향을 받는 것으로 나타났다. 각 증권시장이 해외증시로부터 받은 영향력의 크기는 일본 35%, 미국 16%, 인도 13%로 나타남에 따라 일본 증시의 해외변수에 대한 의존성이 매우 높은 것으로 나타났다. 이는 인도 증시가 인도 정부의 경제개방 및 자본 자유화 등으로 국제 증권시장과 점진적으로 통합화되어가고 있는 증거를 제시해 주고 있다. 또한 동 실증분석 결과는 국제 투자자들의 포트폴리오 관리 및 투자전략 수립, 위험관리전략 수립 등에 다소나마 도움을 줄 수 있을 것으로 보여 진다.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.741-749
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• 2021

The research paper endeavors to investigate the presence of seasonal anomalies in the Indian equity market. It also aims to verify the notion that equity markets are for long-term investors. The study employs daily index data of Sensex, Bombay Stock Exchange, to understand its volatility for the period ranging from January 2001 to August 2020. To analyze the seasonal effects in the stock market of India, multiple regression techniques along with descriptive analysis, graphical analysis and various statistical tests are used. The study also employs the rolling returns at different time intervals in order to understand the underlying risks and volatility involved in equity returns. The results from the analysis reveal that daily and monthly seasonality is not present in Sensex returns i.e., investors cannot earn abnormal returns by timing their investment decisions. Hence, the major finding of this study is that the Indian stock market performance is random, and the returns are efficient. The other major conclusion of the research is that the equity returns are profitable in the long run providing investors a hope that they can make gains and compensate for the loss in one period by a superior performance in some other periods.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.311-324
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• 2021

Investors have increasingly become interested in macroeconomic antecedents in order to better understand the investment environment and estimate the scope of profitable investment in equity markets. This study endeavors to examine the interdependency between the macroeconomic antecedents (international oil price (COP), Domestic gold price (GP), Rupee-dollar exchange rates (ER), Real interest rates (RIR), consumer price indices (CPI)), and the BSE Sensex and Nifty 50 index return. The data is converted into a natural logarithm for keeping it normal as well as for reducing the problem of heteroscedasticity. Monthly time series data from January 1992 to July 2019 is extracted from the Reserve Bank of India database with the application of financial Econometrics. Breusch-Godfrey serial correlation LM test for removal of autocorrelation, Breusch-Pagan-Godfrey test for removal of heteroscedasticity, Cointegration test and VECM test for testing cointegration between macroeconomic factors and market returns,] are employed to fit regression model. The Indian market returns are stable and positive but show intense volatility. When the series is stationary after the first difference, heteroskedasticity and serial correlation are not present. Different forecast accuracy measures point out macroeconomics can forecast future market returns of the Indian stock market. The step-by-step econometric tests show the long-run affiliation among macroeconomic antecedents.