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A bibliometric analysis of machine learning econometrics in asset pricing

Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of risk and financial management : JRFM 15 (2022) 11, pp. 1-17

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Persistent link: https://www.econbiz.de/10013475217

Profitability of Trading in the Direction of Asset Price Jumps – Analysis of Multiple Assets and Frequencies

Fičura, Milan - 2017

The profitability of a trading system based on the momentum-like effects of price jumps was tested on the time series of 7 assets (EUR/USD, GBP/USD, USD/CHF and USD/JPY exchange rates and Light Crude Oil, E-Mini S&P 500 and VIX Futures), in each case for 7 different frequencies (ranging from...

Persistent link: https://www.econbiz.de/10012964934

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

Asset Pricing and Deep Learning

Zhang, Chen - 2022

the importance of domain knowledge and financial theory when designing deep learning models. I also show return prediction …

Persistent link: https://www.econbiz.de/10014236793

Expected Returns and Large Language Models

Jiang, Jingwen; Kelly, Bryan T.; Xiu, Dacheng - 2023

We extract contextualized representations of news text to predict returns using the state-of-the-art large language models in natural language processing. Unlike the traditional bag-of-words approach, the contextualized representation captures both the syntax and semantics of text, thus...

Persistent link: https://www.econbiz.de/10014351081

Noncausality and Asset Pricing

Lof, Matthijs - 2014

Misspecification of agents' information sets or expectation formation mechanisms may lead to noncausal autoregressive representations of asset prices. Annual US stock prices are found to be noncausal, implying that agents' expectations are not revealed to an outside observer such as an...

Persistent link: https://www.econbiz.de/10013068304

Asset Pricing Bubbles Under Rational Expectations

Seidens, Sebastian - 2018

The Efficiency Market Hypotheses (EMH) imply rational investors and no asset mispricing in the medium run. This paper critically evaluates on the point of whether an asset price bubble is an irrational phenomenon that cannot be detected. Thereby, I review the existing literature and reflect on...

Persistent link: https://www.econbiz.de/10012908576

High-Frequency Expectations from Asset Prices : A Machine Learning Approach

Chaudhry, Aditya - 2020

We propose a novel reinforcement learning approach to extract high-frequency aggregate growth expectations from asset prices. While much expectations-based research in macroeconomics and finance relies on low-frequency surveys, the multitude of events that pass between survey dates renders...

Persistent link: https://www.econbiz.de/10012823023

Diverging roads: theory-based vs. machine learning-implied stock risk premia

Grammig, Joachim; Hanenberg, Constantin; Schlag, Christian - 2020

We assess financial theory-based and machine learning-implied measurements of stock risk premia by comparing the … preferable to rely on a theory-based approach instead of engaging in the computerintensive hyper-parameter tuning of statistical … models. The theory-based approach also delivers a solid performance at the one year horizon, at which only one machine …

Persistent link: https://www.econbiz.de/10012163064

Spanning analysis of stock market anomalies under prospect stochastic dominance

Arvanitis, Stelios; Scaillet, Olivier; Topaloglou, Nikolas - 2020 - This version: April 2020

We develop and implement methods for determining whether introducing new securities or relaxing investment constraints improves the investment opportunity set for prospect investors. We formulate a new testing procedure for prospect spanning for two nested portfolio sets based on subsampling and...

Persistent link: https://www.econbiz.de/10012219063

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