Predictive Power of Implied Volatility of Structured Warrants: Evidence from Singapore

2020 ◽  
Author(s):  
Najmi Ismail Murad Samsudin ◽  
Azhar Mohamad ◽  
Imtiaz Sifat ◽  
Zarinah Hamid
Keyword(s):  
Implied Volatility ◽  
Predictive Power

scholarly journals Forecasting Large Price Declines of the Nikkei Using the S&P 500 Implied Volatility

2016 ◽  
Vol 8 (1) ◽  
pp. 58
Author(s):  
Chikashi Tsuji
Keyword(s):  
Quantile Regression ◽  
Regression Models ◽  
Implied Volatility ◽  
Predictive Power ◽  
Downside Risk ◽  
Price Changes ◽  
Empirical Results ◽  
Left Tail

This paper empirically examines the forecast power of the previous day’s US implied volatility for large declines of the Nikkei by using several versions of quantile regression models. All our empirical results suggest that the previous day’s US S&P 500 implied volatility has forecast power for large price drops of the Nikkei 225 in Japan. Since we repeatedly and carefully tested the several left tail risks in price changes of the Nikkei and we also tested by using some different versions of quantile regression models, our evidence of the predictive power of the S&P 500 implied volatility for downside risk of the Nikkei is very robust.

The Predictive Power of REIT Implied Volatility and Implied Idiosyncratic Volatility

2010 ◽  
Vol 16 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Dean Diavatopoulos ◽  
Andy Fodor ◽  
Shawn Howton ◽  
Shelly Howton
Keyword(s):  
Implied Volatility ◽  
Predictive Power ◽  
Idiosyncratic Volatility

The predictive power of the implied volatility of options traded OTC and on exchanges

2010 ◽  
Vol 34 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Wayne W. Yu ◽  
Evans C.K. Lui ◽  
Jacqueline W. Wang
Keyword(s):  
Implied Volatility ◽  
Predictive Power

scholarly journals Predictive power of implied volatility of structured call warrants: Evidence from Singapore

2020 ◽  
Author(s):  
Najmi Ismail Murad Samsudin ◽  
Azhar Mohamad ◽  
Imtiaz Mohammad Sifat ◽  
Zarinah Hamid
Keyword(s):  
Implied Volatility ◽  
Predictive Power

scholarly journals Testando o poder preditivo do VIX: uma aplicação do modelo de erro multiplicativo

2015 ◽  
Vol 13 (4) ◽  
pp. 571
Author(s):  
Luis Fernando Pereira Azevedo ◽  
Pedro L. Valls Pereira
Keyword(s):  
Implied Volatility ◽  
Predictive Power ◽  
Explanatory Power ◽  
Relevant Information ◽  
Realized Volatility ◽  
Time Series Models ◽  
Economic Stability ◽  
Short Term ◽  
Volatility Index ◽  
Black Scholes

VIX - Volatility Index - emerged as an alternative calculation of implied volatility in order to mitigate some problems encountered in models of the Black-Scholes. This kind of volatility is seen as the best predictor of future volatility, given that option traders' expectations are embedded in their values. In this paper we test whether the VIX has more predictive power for future volatility and contains relevant information not found in time series models time for non-negative variables, treated by multiplicative error model. The results indicate that the VIX has greater predictive power in periods of economic stability, but does not contain relevant information to the realized volatility which here is considered as the "true volatility". In periods of economic crisis the result changes, with the VIX presenting the same explanatory power, but contains relevant information in the short term.

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