Structural changes in the conditional volatility process of stock market returns

Author(s):  
Josip Arneric
2017 ◽  
Vol 64 (3) ◽  
pp. 325-338 ◽  
Author(s):  
Amanjot Singh

Abstract The study attempts to capture conditional variance of Indian banking sector’s stock market returns across the years 2005 to 2015 by employing different GARCH based symmetric and asymmetric models. The results report existence of persistency as well as leverage effects in the banking sector return volatility. On an expected note, the global financial crisis increased conditional volatility in the Indian banking sector during the years 2007 to 2009; further evidenced from Markov regime switches. The exponential GARCH (EGARCH) model is found to be the best fit model capturing time-varying variance in the banking sector. The results support strong implications for the market participants at the time of devising portfolio management strategies.


2018 ◽  
Vol 19 (1) ◽  
pp. 110-123 ◽  
Author(s):  
Chung BAEK ◽  
Ingyu LEE

Our study investigates structural changes in the market P/E ratio and shows how structural changes affect long-term stock market returns. Using the cumulative sum control chart and the Bai-Perron algorithm, we identify multiple structural breakpoints in the market P/E ratio and find that those structural changes are significantly perceived over the long run. Unlike previous studies that do not consider structural changes, our study is the first one that shows how structural changes asymmetrically influence long-term stock returns depending on the high or low P/E period. This implies that structural changes in the market P/E ratio play an important role in explaining long-term stock returns. We propose that structural changes should be taken into account in some manner to establish the relationship between P/E ratios and long-term stock returns.


2017 ◽  
Vol 7 (1) ◽  
pp. 17-24 ◽  
Author(s):  
Jalal Seifoddini ◽  
Fraydoon Rahnamay Roodposhti ◽  
Elahe Kamali

We perform a comparative study on the gold-stock market relationship in U.S. stock market as a developed market and in Iran stock market as an emerging market. By considering appropriate variables for emerging markets and by providing a more proper methodology, we improve earlier studies. According to our findings, the relationship between stock market returns and gold price returns does not follow any specific regimes and that this relationship changes in short and long term returns. It is necessary to mention that in the present research, we did not consider this relationship in major structural changes in the economies and instead considered usual economic circumstances that investors are regularly faced with in their investment decisions.


GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 1-9
Author(s):  
Dhananjaya Kadanda ◽  
Krishna Raj

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.


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