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In this study, we apply a rolling window approach to wavelet-filtered (denoised) S&P500 returns (2000–2020) to obtain time varying Hurst exponents. We analyse the dynamics of the Hurst exponents by applying statistical tests (e.g., for stationarity, Gaussianity and self-similarity), a...
Persistent link: https://www.econbiz.de/10013229642
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search … queries. We find a strong co-movement of stock market indices’ realized volatility and the search queries for their names …. Furthermore, Granger causality is bi-directional: high searches follow high volatility, and high volatility follows high searches …
Persistent link: https://www.econbiz.de/10009355522
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search … queries. We find a strong co-movement of stock market indices' realized volatility and the search queries for their names …. Furthermore, Granger causality is bi-directional: high searches follow high volatility, and high volatility follows high searches …
Persistent link: https://www.econbiz.de/10009357284
This paper studies the dynamics of stock market volatility and retail investors' attention to the stock market, where … co-movement of the Dow Jones' realized volatility and the volume of search queries for its name. Furthermore, search … queries Granger cause volatility: a heightened number of searches today is followed by an increase in volatility tomorrow. We …
Persistent link: https://www.econbiz.de/10013008478
The aim of this study is to investigate the volatility spillover connectedness between NFTs attention and financial … decomposition to assess the historical variations of the NFTsAI. Then the empirical analysis is performed via a TVP-VAR volatility …, DeFi, equity, bond, commodity, F.X. and gold markets. And NFT markets are volatility spillover receivers. In addition, NFT …
Persistent link: https://www.econbiz.de/10013404368
realistic dynamics of riskneutral and realized volatilities. I provide evidence that the jump risk in volatility of long run … of the VIX or realized stock volatility. In contrast, a jump-in-volatility LRR model generates a smaller variance risk … premium but better fits the VIX and the realized stock volatility dynamics. Finally, jump-in-volatility models generate …
Persistent link: https://www.econbiz.de/10009734341
volatility. The study investigates whether the asymmetric effects of good and bad news on volatility is present and how … distributional assumptions affect the selection of GARCH models. Compared to two widely used historical volatility models, the simple … the forecasts of loan market volatility. The model comparison involves a regression-based approach, loss functions and …
Persistent link: https://www.econbiz.de/10013220294
The use of fundamentalist traders in the stock market models is problematic since fundamental values in the real world are unknown. Yet, in the literature to date, fundamentalists are often required to replicate key stylized facts. The authors present an agent-based model of the stock market in...
Persistent link: https://www.econbiz.de/10011723700
) The Volatility Puzzle. We offer resolutions of those objections within the rational finance. We do not claim that those …
Persistent link: https://www.econbiz.de/10012842392
Benoît Mandelbrot, the father of Fractal Geometry, developed a multifractal model for describing price changes. Despite the commonly used models, such as the Brownian motion, the Mutifractal Model of Asset Return (MMAR) takes into account scale-consistency, long-range dependence and heavy...
Persistent link: https://www.econbiz.de/10013026948