Showing 1 - 10 of 38,182
In this paper, we estimate, model and forecast Realized Range Volatility, a new realized measure and estimator of the …-known stylized effects present in financial data. We consider an HAR model with asymmetric effects with respect to the volatility and …
Persistent link: https://www.econbiz.de/10009021695
volatility, correlation, beta, quadratic variation, jump variation, and other functionals of an underlying continuous …
Persistent link: https://www.econbiz.de/10010834073
Se parametriza de forma conjunta la heteroscedasticidad condicional autorregresiva generalizada que corresponde al comportamiento de la varianza de tres variables: (a) el índice de precios y cotizaciones (IPC), indicador principal del mercado bursátil mexicano, (b) el emerging markets bond...
Persistent link: https://www.econbiz.de/10010780734
, focusing on the relationship between returns and conditional volatility. The conditional mean follows a GARCH-M model, while … PGARCH) were tested. We examine how accurately these GARCH models forecast volatility under various error distributions … the following: (i) the Macedonian stock returns time series display stylized facts such as volatility clustering, high …
Persistent link: https://www.econbiz.de/10005621308
In theory, the price of equity is determined by the dividend yields and growth potentials of the firms. There exists … established empirical proof of the impact of macroeconomic changes to the equity markets. With the advent of Islamic equities, and … initial empirical proof for further research on the impact of specific economic variables on the changes in Islamic equity …
Persistent link: https://www.econbiz.de/10011113581
Markov-switching models, improves estimates and forecasts of stock return volatility over those of the more conventional …
Persistent link: https://www.econbiz.de/10010734905
prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …
Persistent link: https://www.econbiz.de/10011099986
Financial asset returns are known to be conditionally heteroskedastic and generally non-normally distributed, fat-tailed and often skewed. In order to account for both the skewness and the excess kurtosis in returns, we combine the BEKK model from the multivariate GARCH literature with different...
Persistent link: https://www.econbiz.de/10011246290
financial assets with fat tails, asymmetry, periodic behaviors in the conditional variances, and volatility clustering. The gold …
Persistent link: https://www.econbiz.de/10011154569
ability of delivering volatility estimates. The second one is to contribute to extend the very scarce empirical research on … VaR estimation in emerging financial markets. Methods/Approach: Using the daily returns of the Macedonian stock exchange … adequate GARCH family models for estimating volatility in the Macedonian stock market are the asymmetric EGARCH model with …
Persistent link: https://www.econbiz.de/10011019968