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News Arrival, Time-Varying Jump Intensity, and Realized Volatility : Conditional Testing Approach
Erdemlioglu, Deniz; Yang, Xiye - 2022
This paper introduces new econometric tests to identify stochastic intensity jumps in high-frequency data. Our approach exploits the behavior of a time-varying stochastic intensity and allows us to assess how intensely stock market reacts to news. We describe the asymptotic properties of our...
Persistent link: https://www.econbiz.de/10013406297
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Estimating Long Memory Volatility Using High-Frequency Data of Asian Stock Markets
Duppati, Geeta - 2016
This article analyzed the presence of long memory in volatility in 5 Asian equity indices namely SENSEX, CNIA, NIKKEI225, KO11 and FTSTI, using 5 minutes intraday return series ranging from 05-jan-2015 to 06-Aug-2015. The study employed ARFIMA-FIGARCH model and ARFIMA-APARCH model and compared...
Persistent link: https://www.econbiz.de/10013003892
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Testing CAPM with a large number of assets
Pesaran, M. Hashem; Yamagata, Takashi - 2012
This paper is concerned with testing the time series implications of the capital asset pricing model (CAPM) due to … evidence against Sharpe-Lintner CAPM is found mainly during the recent financial crisis. Furthermore, a strong negative … during episodes of market inefficiencies. -- CAPM ; testing for alpha ; market efficiency ; long/short equity returns ; large …
Persistent link: https://www.econbiz.de/10009535779
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Time-series momentum : a Monte-Carlo approach
Cheng, Enoch; Struck, Clemens - 2019
This paper develops a Monte-Carlo backtesting procedure for risk premia strategies and employs it to study Time-Series Momentum (TSM). Relying on time-series models, empirical residual distributions and copulas we overcome two key drawbacks of conventional backtesting procedures. We create...
Persistent link: https://www.econbiz.de/10011990919
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The memory of beta factors
Becker, Janis; Hollstein, Fabian; Prokopczuk, Marcel; … - 2019
Researchers and practitioners employ a variety of time-series processes to forecast betas, using either short-memory models or implicitly imposing infinite memory. We find that both approaches are inadequate: beta factors show consistent long-memory properties. For the vast majority of stocks,...
Persistent link: https://www.econbiz.de/10012105362
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Estimating the volatility of asset pricing factors
Becker, Janis; Leschinski, Christian - 2018 - This version: May 20, 2018
Models based on factors such as size, value, or momentum are ubiquitous in asset pricing. Therefore, portfolio allocation and risk management require estimates of the volatility of these factors. While realized volatility has become a standard tool for liquid individual assets, this measure is...
Persistent link: https://www.econbiz.de/10011860248
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A model specification test for GARCH(1,1) processes
Leucht, Anne; Neumann, Michael H.; Kreiß, Jens-Peter - 2013
manner, we propose a model-based (semiparametric)bootstrap method to approximate critical values of the test and verify its …
Persistent link: https://www.econbiz.de/10011490275
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Small sample adjustment for hypotheses testing on cointegrating vectors
Canepa, Alessandra - In: Journal of time series econometrics 14 (2022) 1, pp. 51-85
Persistent link: https://www.econbiz.de/10013260145
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Testing the value of directional forecasts in the presence of serial correlation
Blaskowitz, Oliver Jim; Herwartz, Helmut - In: International journal of forecasting 30 (2013) 1, pp. 30-42
Persistent link: https://www.econbiz.de/10010243646
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Fixed and long time span jump tests : new Monte Carlo and empirical evidence
Cheng, Mingmian; Swanson, Norman R. - In: Econometrics : open access journal 7 (2019) 1/13, pp. 1-32
Numerous tests designed to detect realized jumps over a fixed time span have been proposed and extensively studied in the financial econometrics literature. These tests differ from “long time span tests” that detect jumps by examining the magnitude of the jump intensity parameter in the data...
Persistent link: https://www.econbiz.de/10012025640