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BitCoin over the period 2013-2018. Specifically, it uses a static approach to detect overreactions and then carries out … Bitcoin price movements (H1) and (ii) exhibits seasonality (H2). On the whole, the results suggest that it can provide useful …
Persistent link: https://www.econbiz.de/10011922057
This paper explores the frequency of price overreactions in the US stock market by focusing on the Dow Jones Industrial Index over the period 1990-2017. It uses two different methods (static and dynamic) to detect overreactions and then carries out various statistical tests (both parametric and...
Persistent link: https://www.econbiz.de/10011844559
Persistent link: https://www.econbiz.de/10011878193
This paper analyses the explanatory power of the frequency of abnormal returns in the FOREX for the EURUSD, GBRUSD, USDJPY, EURJPY, GBPCHF, AUDUSD and USDCAD exchange rates over the period 1994-2019. Abnormal returns are detected using a dynamic trigger approach; then the following hypotheses...
Persistent link: https://www.econbiz.de/10012837673
This paper analyses the explanatory power of the frequency of abnormal returns in the FOREX for the EURUSD, GBRUSD, USDJPY, EURJPY, GBPCHF, AUDUSD and USDCAD exchange rates over the period 1994-2019. Abnormal returns are detected using a dynamic trigger approach; then the following hypotheses...
Persistent link: https://www.econbiz.de/10012839021
BitCoin over the period 2013-2018. Specifically, it uses a static approach to detect overreactions and then carries out … Bitcoin price movements (H1) and (ii) exhibits seasonality (H2). On the whole, the results suggest that it can provide useful …
Persistent link: https://www.econbiz.de/10012892294
between a simple momentum and mean reversion strategy depending on its relative profitability. Technical traders use the price …
Persistent link: https://www.econbiz.de/10011723700
This paper analyses the explanatory power of the frequency of abnormal returns in the FOREX for the EURUSD, GBRUSD, USDJPY, EURJPY, GBPCHF, AUDUSD and USDCAD exchange rates over the period 1994-2019. Abnormal returns are detected using a dynamic trigger approach; then the following hypotheses...
Persistent link: https://www.econbiz.de/10012196296
Forecasts of stock market volatility is an important input for market participants in measuring and managing investment risks. Thus, understanding the most appropriate methods to generate accurate is key. This paper examines the ability of Machine Learning methods, and specifically Artificial...
Persistent link: https://www.econbiz.de/10013310404
This study shows that changes in bitcoin exchange reserves are negatively related to contemporaneous and future bitcoin … returns, consistent with the hypothesis that the transfer of bitcoin on exchanges implies increased price pressure and vice … versa. We further identify an asymmetry between positive and negative reserve changes on bitcoin returns and volatility …
Persistent link: https://www.econbiz.de/10013213529