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Absence-of-Arbitrage (AoA) is the basic assumption underpinning derivatives pricing theory. As part of the OTC derivatives market, the CDS market not only provides a vehicle for participants to hedge and speculate on the default risks of corporate and sovereign entities, it also reveals...
Persistent link: https://www.econbiz.de/10012908231
A presentation was given on 7 March 2018 as the Call for Paper winner for Risk's Quant Summit Europe 2018 Conference based on an original paper titled CDS Rate Construction Methods by Machine Learning Techniques jointly by Raymond Brummelhuis and Zhongmin Luo available...
Persistent link: https://www.econbiz.de/10012924734
correlated nature of financial data, we investigated the impact of correlation on classifier performance. The techniques used in …
Persistent link: https://www.econbiz.de/10012934025
Virtually each seasonal adjustment software includes an ensemble of seasonality tests for assessing whether a given time series is in fact a candidate for seasonal adjustment. However, such tests are certain to produce either the same resultor conflicting results, raising the question if there...
Persistent link: https://www.econbiz.de/10012301212
We examine machine learning and factor-based portfolio optimization. We find that factors based on autoencoder neural networks exhibit a weaker relationship with commonly used characteristic-sorted portfolios than popular dimensionality reduction techniques. Machine learning methods also lead to...
Persistent link: https://www.econbiz.de/10013219036
We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...
Persistent link: https://www.econbiz.de/10014322889
We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...
Persistent link: https://www.econbiz.de/10014337816
We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...
Persistent link: https://www.econbiz.de/10014349505
. These seven scripts contain the Dynamic Conditional Correlation (DCC) framework, Instantaneous Frequency Forecasting (IFF … RCR framework to forecast covariance and correlation structures and finally apply portfolio weighting strategies based on …
Persistent link: https://www.econbiz.de/10014253907
). PCA approach fits scenario generation problem better because it explicitly takes into consideration correlation between …
Persistent link: https://www.econbiz.de/10012868018