2021Review of International Geographical Education OnlineRequires access

A Study on the Asymmetric Effects of the U.S. And Japanese Reits Stock Price Volatility

Cha Soon Choi

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Abstract

AbstractThis study analyzed the asymmetric effects of real estate investment trusts (REITs) stock price volatility oninformation through the GJR(1,1)-MA(1) model using the U.S. REITs index released by the NAREIT and theJapanese REITs index released by SMTRI. While REITs stock price volatility changes according to the timelag were examined, an analysis of the GARCH (1,1 )-MA(1) model was carried out for comparison withthe GJR(1,1)-MA(1) model estimates. According to the analysis results, the time-varying of the REITs stockprice volatility could be estimated with the GARCH (1,1 )-MA(1) model in both the U.S. and Japan. As aresult of the analysis using the GJR (1,1)-MA (1) model, it was found that significant asymmetric volatilityexisted between unexpected returns and conditional variance in the U.S. and Japanese REITs market.This means that REIT's stock price volatility more sensitively responds to bad news compared to good news.This phenomenon was revealed more clearly after the global financial crisis, and so the U.S. and Japanesefinancial markets' coupling took place fast. Because the returns of REITs have a high correlation with riskpremium, it is implied that there is a need for an investment strategy and risk management dependingon information type.

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AbstractThis study analyzed the asymmetric effects of real estate investment trusts (REITs) stock price volatility oninformation through the GJR(1,1)-MA(1) model using the U.S. REITs index released by the NAREIT and theJapanese REITs index released by SMTRI. While REITs stock price volatility changes according to the timelag were examined, an analysis of the GARCH (1,1 )-MA(1) model was carried out for comparison withthe GJR(1,1)-MA(1) model estimates. According to the analysis results, the time-varying of the REITs stockprice volatility could be estimated with the GARCH (1,1 )-MA(1) model in both the U.S. and Japan. As aresult of the analysis using the GJR (1,1)-MA (1) model, it was found that significant asymmetric volatilityexisted between unexpected returns and conditional variance in the U.S. and Japanese REITs market.This means that REIT's stock price volatility more sensitively responds to bad news compared to good news.This phenomenon was revealed more clearly after the global financial crisis, and so the U.S. and Japanesefinancial markets' coupling took place fast. Because the returns of REITs have a high correlation with riskpremium, it is implied that there is a need for an investment strategy and risk management dependingon information type.

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Available abstract

AbstractThis study analyzed the asymmetric effects of real estate investment trusts (REITs) stock price volatility oninformation through the GJR(1,1)-MA(1) model using the U.S. REITs index released by the NAREIT and theJapanese REITs index released by SMTRI. While REITs stock price volatility changes according to the timelag were examined, an analysis of the GARCH (1,1 )-MA(1) model was carried out for comparison withthe GJR(1,1)-MA(1) model estimates. According to the analysis results, the time-varying of the REITs stockprice volatility could be estimated with the GARCH (1,1 )-MA(1) model in both the U.S. and Japan. As aresult of the analysis using the GJR (1,1)-MA (1) model, it was found that significant asymmetric volatilityexisted between unexpected returns and conditional variance in the U.S. and Japanese REITs market.This means that REIT's stock price volatility more sensitively responds to bad news compared to good news.This phenomenon was revealed more clearly after the global financial crisis, and so the U.S. and Japanesefinancial markets' coupling took place fast. Because the returns of REITs have a high correlation with riskpremium, it is implied that there is a need for an investment strategy and risk management dependingon information type.

Key concepts: Real estate investment trust, Volatility (finance), Financial economics, Economics, Autoregressive conditional heteroskedasticity, Stock (firearms), Econometrics, Stock market index

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