Showing 1 - 10 of 2,338
We derive a nonparametric test for constant (continuous) beta over a fixed interval of time. Continuous beta is defined as the ratio of the continuous covariation between an asset and observable risk factor (e.g., the market return) and the continuous variation of the latter. Our test is based...
Persistent link: https://www.econbiz.de/10010253467
We estimate a general microstructure model of the transitory and permanent impact of order flow on stock prices. Jumps …-capitalization stocks traded on the Euronext-Paris Bourse. We find that, at tick frequency, the overnight return, the intraday jumps, and … microstructure model explains on average 47.7% of the total variation. Once jumps are filtered and parameters are estimated in real …
Persistent link: https://www.econbiz.de/10010256970
estimation strategy is applicable to both parametric and nonparametric stochastic volatility models, and can handle both jumps …
Persistent link: https://www.econbiz.de/10010487528
noise is considered. A general stochastic volatility framework with jumps for the underlying asset dynamics is defined … parameter and average jumps size reveals that the characteristics of the dataset are crucial to determine which is the proper …
Persistent link: https://www.econbiz.de/10011506497
The asset allocation decision often relies upon correlation estimates arising from short-run data. Short-run correlation estimates may, however, be distorted by frictions. In this paper, we introduce a long-run wavelet-based correlation estimator, distinguishing between long-run common behavior...
Persistent link: https://www.econbiz.de/10012917953
We develop a network-based vector autoregressive approach to uncover the interactions amongfinancial assets by integrating multiple realized measures based on high-frequency data. Undera restricted parameter structure, our approach allows the capture of cross-sectional and time ependencies...
Persistent link: https://www.econbiz.de/10013233982
This paper introduces new econometric tests to identify stochastic intensity jumps in high-frequency data. Our approach … S&P 500 exchange-traded fund (ETF) data, we find strong evidence for the presence of intensity jumps surrounding the … scheduled Federal Open Market Committee (FOMC) policy announcements. Intensity jumps occur very frequently, trigger sharp …
Persistent link: https://www.econbiz.de/10013406297
We propose a new methodology based on Fourier analysis to estimate the fourth power of the volatility function (spot quarticity) and, as a byproduct, the integrated function. We prove the consistency of the proposed estimator of the integrated quarticity. Further, we analyse its efficiency in...
Persistent link: https://www.econbiz.de/10013084252
This paper introduces a new class of stochastic volatility models which allows for stochastic volatility of volatility (SVV): Volatility modulated non-Gaussian Ornstein-Uhlenbeck (VMOU) processes. Various probabilistic properties of (integrated) VMOU processes are presented. Further we study the...
Persistent link: https://www.econbiz.de/10013117444
We apply the GARCH-MIDAS framework to forecast the daily, weekly, and monthly volatility of five highly capitalized Cryptocurrencies (Bitcoin, Etherium, Litecoin, Ripple, and Stellar) as well as the Cryptocurrency index CRIX. Based on the prediction quality, we determine the most important...
Persistent link: https://www.econbiz.de/10011906495