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measures as exogenous variables can deliver comparable or even better performances on forecasting VaR and ES of major stock …
Persistent link: https://www.econbiz.de/10012847881
Just as network effects can dramatically increase value through positive feedback, value can be lost as networks shrink due to competition or incompatibility. In the instance of cryptocurrency as a network and with Metcalfe's Law as the methodology, we illustrate by numerical example that...
Persistent link: https://www.econbiz.de/10012848660
This paper compares the ability of the log periodic power law (LPPL) procedure and the supremum augmented Dickey Fuller (supremum ADF) tests to confirm or reject the presence of bubbles in various time series simulations. We develop a time stamping method for the LPPL procedure and derive a more...
Persistent link: https://www.econbiz.de/10012849157
In this paper we test for regime changes in the price dynamics of Bitcoin, Ethereum, Litecoin and Monero, as representatives of the cryptocurrencies asset class. Data are observed daily from January, 1, 2016 to October, 15, 2019. Best specifications within Gaussian and Autoregressive Hidden...
Persistent link: https://www.econbiz.de/10012849209
. The out-of-sample forecasting performance of the proposed model is evaluated against a number of standard models, using …
Persistent link: https://www.econbiz.de/10012863889
This paper proposes a novel decomposition of realized volatility (RV) into moderate and extreme realized volatility estimates. These estimates behave like long and short term components of volatility, and are very different from either realized semi-variance or the continuous and jump components...
Persistent link: https://www.econbiz.de/10012864091
of our proposed factor-augmented forecasting models result in substantial predictive gains, as measured by out …-of-sample R squared, and via the application of predictive accuracy tests. In particular, forecasting gains are observed at …
Persistent link: https://www.econbiz.de/10012864374
Persistent link: https://www.econbiz.de/10012864376
We study whether and when parameter-driven time-varying parameter models lead to forecasting gains over observation … alternatives. We also find that GAS models outperform many familiar observation-driven models in terms of forecasting accuracy. The … results point to a class of observation-driven models with comparable forecasting ability to parameter-driven models, but …
Persistent link: https://www.econbiz.de/10014172098
Deriving estimators from historical data is common practice in applied quantitative finance. The availability of ever larger data sets and easier access to statistical algorithms has also led to an increased usage of historical estimators. In this research note, we illustrate how to assess the...
Persistent link: https://www.econbiz.de/10014236566