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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
We study the asymptotic distribution of Tikhonov Regularized estimation of quantile structural effects implied by a nonseparable model. The nonparametric instrumental variable estimator is based on a minimum distance principle. We show that the minimum distance problem without regularization is...
Persistent link: https://www.econbiz.de/10003961394
generalize a classic result in copula theory concerning the extendibility of subcopulas to show that related objects …
Persistent link: https://www.econbiz.de/10011994834
Dynamic treatment regimes are treatment allocations tailored to heterogeneous individuals. The optimal dynamic treatment regime is a regime that maximizes counterfactual welfare. We introduce a framework in which we can partially learn the optimal dynamic regime from observational data, relaxing...
Persistent link: https://www.econbiz.de/10012295275
We propose a new methodology to estimate the empirical pricing kernel implied from option data. In contrast to most of the studies in the literature that use an indirect approach, i.e. first estimating the physical and risk-neutral densities and obtaining the pricing kernel in a second step, we...
Persistent link: https://www.econbiz.de/10013108080
One of the most important factors to control for the achievements of investment portfolio returns is risk. If we only think that a 100% positive return is needed to recover a portfolio loss of 50%, we can understand why. With the advent of the exponential growth of technology usage in markets,...
Persistent link: https://www.econbiz.de/10014254526
When it comes to stock returns, any form of predictability can bolster risk-adjusted profitability. We develop a collaborative machine learning algorithm that optimizes portfolio weights so that the resulting synthetic security is maximally predictable. Precisely, we introduce MACE, a...
Persistent link: https://www.econbiz.de/10014348906
A great proportion of stock dynamics can be explained using publicly available information. The relationship between dynamics and public information may be of nonlinear character. In this paper we offer an approach to stock picking by employing so-called decision trees and applying them to XETRA...
Persistent link: https://www.econbiz.de/10012966264
Persistent link: https://www.econbiz.de/10012546913
theory often provides such shape restrictions. This paper shows that they restrict L(g) to an interval whose upper and lower …
Persistent link: https://www.econbiz.de/10009554348