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aggregate U.S. stock market on: 1) the volatility predictions of asymmetric time series models, 2) implied volatility, and 3 …) realized volatility. Both asymmetric time series models and implied volatility predict an increase in volatility following … large negative surprise returns and ex post realized volatility normally rises as predicted. However, while asymmetric time …
Persistent link: https://www.econbiz.de/10013159746
In this study, we aim to analyze the relation between return and volatility in different types of exchange-traded funds … advantages to each other: Toda-Yamamoto (1995); bootstrap based Hatemi-J (2005); volatility spillover, which allows investigating … results obtained from our analyses show that a negative relationship between return and volatility is valid for most ETF types …
Persistent link: https://www.econbiz.de/10012909776
Modeling and forecasting volatility of capital markets has been important area of inquiry and research in financial … economics with the recognition of time-varying volatility, volatility clusturing, and asymmetric response of volatility to … investment in Nepalese stock market, it is important to understand the pattern of stock market volatility. In the paper, the …
Persistent link: https://www.econbiz.de/10012940660
This paper investigates the role of investor attention in forecasting realized volatility for fourteen international … augmented Empirical Similarity model that combines three volatility components, defined over different time horizons, using the … similarity measure between lagged Google search queries and volatility. Results show that investor attention positively affects …
Persistent link: https://www.econbiz.de/10012821063
provided between frequentist and Bayesian estimation. No significant difference is found between the qualities of the forecasts …
Persistent link: https://www.econbiz.de/10012976219
We investigate the risk-return trade-off on the US and European stock markets. We investigate the non-linear risk-return trade-off with a special eye to the tails of the stock returns using quantile regressions. We first consider the US stock market portfolio. We find that the risk-return...
Persistent link: https://www.econbiz.de/10012587977
estimation method for a high-dimensional VAR model. We apply the robust estimator to predicting large volatility matrices and … estimation and prediction methods. Using high-frequency trading data, we apply the proposed method to large volatility matrix …Various parametric models have been developed to predict large volatility matrices, based on the approximate factor …
Persistent link: https://www.econbiz.de/10013211439
Additionally to the financial crisis causing a world recession, Liechtenstein’s financial sector has been challenged by the so-called "Zumwinkel-Affair" when a whistle-blower sold data of hundreds of tax evaders to international tax authorities. This paper investigates the impact of this...
Persistent link: https://www.econbiz.de/10010128449
Persistent link: https://www.econbiz.de/10010191413
time variation of stock return volatility (GARCH). In the long-term, our results suggest that the US defense firms only …. -- terrorism ; volatility ; GARCH ; event study …
Persistent link: https://www.econbiz.de/10009743349