Results 31 to 40 of about 6,227 (165)
In this study, we predict the daily volatility of the S&P CNX NIFTY market index of India using the basic ‘heterogeneous autoregressive’ (HAR) and its variant.
Manish Kumar
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Can the Baidu Index predict realized volatility in the Chinese stock market?
This paper incorporates the Baidu Index into various heterogeneous autoregressive type time series models and shows that the Baidu Index is a superior predictor of realized volatility in the SSE 50 Index.
Wei Zhang, Kai Yan, Dehua Shen
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Assessing the Impact of the Realized Range on the (E)GARCH Volatility: Evidence from Brazil
This paper investigates whether the inclusion of the realized range as regressor in the (E)GARCH volatility equation would add information to the process improving out - of - sample forecasts performance and providing more accurate ...
Victor Bello Accioly +1 more
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Using transaction-level tick-by-tick data of same- and next-day settlement of the Russian Ruble versus the US Dollar exchange rate (RUB/USD) traded on the Moscow Exchange Market during the period 2005–2013, we analyze the impact of trading hours ...
Michael Frömmel, Eyup Kadioglu
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This study examines the connectedness in high-order moments between cryptocurrency, major stock (U.S., U.K., Eurozone, and Japan), and commodity (gold and oil) markets. Using intraday data from 2020 to 2022 and the time and frequency connectedness models
Waqas Hanif +3 more
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Testing the Lag Structure of Assets’ Realized Volatility Dynamics
A (conservative) test is applied to investigate the optimal lag structure for modelingrealized volatility dynamics. The testing procedure relies on the recent theoretical results that showthe ability of the adaptive least absolute shrinkage and selection
Francesco Audrino +2 more
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A hybrid econometrics and machine learning based modeling of realized volatility of natural gas
Determining which variables affect price realized volatility has always been challenging. This paper proposes to explain how financial assets influence realized volatility by developing an optimal day-to-day forecast. The methodological proposal is based
Werner Kristjanpoller
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Daily value-at-risk modeling and forecast evaluation: The realized volatility approach
One of the main applications of conditional volatility modeling and forecasting of financial assets is the value-at-risk (VaR) estimation that is used by financial institutions for reporting the daily capital in risk.
Zhen Yao Wong +2 more
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Dynamic Network Connectedness of Bitcoin Markets: Evidence from Realized Volatility
In this paper, we explore the volatility spillovers across different Bitcoin markets. We decompose the realized volatility into common and idiosyncratic volatilities, as well as the good and bad volatilities.
Shuanglian Chen, Hao Dong
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This study examines the information content of implied volatility, using the options of the underlying S&P CNX Nifty index. In this study, implied, historical and realized volatilities are calculated using non-overlapping monthly at-the-money samples ...
Puja Padhi, Imlak Shaikh
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