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High-frequency jump analysis of the bitcoin market
Scaillet, Olivier; Treccani, Adrien; Trevisan, Christopher - 2017
We use the database leak of Mt. Gox exchange to analyze the dynamics of the price of bitcoin from June 2011 to November …
Persistent link: https://www.econbiz.de/10011762219
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Jumps in high-frequency data : spurious detections, dynamics, and news
Bajgrowicz, Pierre; Scaillet, Olivier - 2011
jumps. Jumps, High-Frequency Data, Spurious Detections, Jumps Dynamics, News Releases, Cojumps …
Persistent link: https://www.econbiz.de/10009313027
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Principal portfolios
Kelly, Bryan T.; Malamud, Semyon; Pedersen, Lasse Heje - 2020 - This version: June 8, 2020
We propose a new asset-pricing framework in which all securities' signals are used to predict each individual return. While the literature focuses on each security's own- signal predictability, assuming an equal strength across securities, our framework is flexible and includes...
Persistent link: https://www.econbiz.de/10012271188
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Complexity in Factor Pricing Models
Didisheim, Antoine; Ke, Shikun; Kelly, Bryan T.; … - 2023
We theoretically characterize the behavior of machine learning asset pricing models. We prove that expected out-of-sample model performance—in terms of SDF Sharpe ratio and average pricing errors—is improving in model parameterization (or “complexity”). Our results predict that the best...
Persistent link: https://www.econbiz.de/10014254198
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Transition versus physical climate risk pricing in European financial markets : a text-based approach
Bua, Giovanna; Kapp, Daniel; Ramella, Federico; … - 2022
the industry they operate in. We find that firm level information appears to be used as a gauge for transition risk, in …
Persistent link: https://www.econbiz.de/10013271146
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The Virtue of Complexity Everywhere
Kelly, Bryan T.; Malamud, Semyon; Zhou, Kangying - 2022
We investigate the performance of non-linear return prediction models in the high complexity regime, i.e., when the number of model parameters exceeds the number of observations. We document a "virtue of complexity" in all asset classes that we study (US equities, international equities, bonds,...
Persistent link: https://www.econbiz.de/10013403787
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Can central bank communication help to stabilise inflation expectations?
Jung, Alexander; Kühl, Patrick - 2021
information and news channel. A novelty of the study is its use of data from Google Analytics on ECB website traffic as proxy for … communication on the information demand of the public and ultimately on inflation expectations. Overall, this study shows that …-term professional inflation expectations. Our findings add to the theoretical evidence on the existence of an information and news …
Persistent link: https://www.econbiz.de/10012511097
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Arbitrage free dispersion
Orlowski, Piotr; Sali, Andras; Trojani, Fabio - 2018 - This version: August 10, 2018
We develop a theory of arbitrage-free dispersion (AFD) that characterizes the testable restrictions of asset pricing models. AFD measures Jensen's gap in the cumulant generating function of pricing kernels and returns. It implies a wide family of model-free dispersion constraints, which extend...
Persistent link: https://www.econbiz.de/10012003245
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A higher-order correct fast moving-average bootstrap for dependent data
La Vecchia, Davide; Moor, Alban; Scaillet, Olivier - 2020
-data example on dynamics of trading volume of US stocks illustrates the empirical relevance of our method …
Persistent link: https://www.econbiz.de/10012179669
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Deep learning for asset bubbles detection
Bashchenko, Oksana; Marchal, Alexis - 2020
We develop a methodology for detecting asset bubbles using a neural network. We rely on the theory of local martingales in continuous-time and use a deep network to estimate the diffusion coefficient of the price process more accurately than the current estimator, obtaining an improved detection...
Persistent link: https://www.econbiz.de/10012181227