scholarly journals Portfolio allocation under asymmetric dependence in asset returns using local Gaussian correlations

2021 ◽  
pp. 102475
Author(s):  
Anders D. Sleire ◽  
Bård Støve ◽  
Håkon Otneim ◽  
Geir Drage Berentsen ◽  
Dag Tjøstheim ◽  
...  
1992 ◽  
Vol 5 (4) ◽  
pp. 315-339 ◽  
Author(s):  
Joseph A. Mckenzie ◽  
Rebel A. Cole ◽  
Richard A. Brown

2003 ◽  
Vol 1 (2) ◽  
pp. 243
Author(s):  
Paulo Coutinho ◽  
Benjamin Miranda Tabak

We use a mean-variance model to analyze the problem of decentralized portfolio management. We find the solution for the optimal portfolio allocation for a head trader operating in <i>n</i> different markets, which is called the optimal centralized portfolio. However, as there are many traders specialized in different markets, the solution to the problem of optimal decentralized allocation should be different from the centralized case. In this paper we derive conditions for the solutions to be equivalent. We use multivariate normal returns and a negative exponential function to solve the problem analytically. We generate the equivalence of solutions by assuming that different traders face different interest rates for borrowing and lending. This interest rate is dependent on the ratio of the degrees of risk aversion of the trader and the head trader, on the excess return, and on the correlation between asset returns.


2000 ◽  
Vol 03 (04) ◽  
pp. 617-639 ◽  
Author(s):  
L. GARDIOL ◽  
R. GIBSON ◽  
P.-A. BARES ◽  
R. CONT ◽  
S. GYGER

We propose a new framework to measure the risk of a single asset and of a portfolio of financial assets which takes the agent's investment horizon into account. The methodology is based on the moderate and large deviations theory in its simplest form. We show how it can be used to select optimal portfolios given investors' planning horizons and preferences for fatter right or left tails. For practical purposes, we introduce a new parameter, the "dilation exponent" α to characterize asset returns' distributions beyond the information contained in the mean-variance framework. We estimate α for Swiss individual stocks and for MSCI country and sector stock market indices. Finally, we show how to use the dilation exponent in conjunction with Sharpe's ratio for portfolio allocation purposes.


2018 ◽  
Vol 281 (1-2) ◽  
pp. 65-98
Author(s):  
Charles-Olivier Amédée-Manesme ◽  
Fabrice Barthélémy ◽  
Philippe Bertrand ◽  
Jean-Luc Prigent

2018 ◽  
Author(s):  
Martin Hoesli ◽  
Jean-Christophe Delfim

2020 ◽  
Vol 8 (1) ◽  
pp. 11-21
Author(s):  
S. M. Yaroshko ◽  
◽  
M. V. Zabolotskyy ◽  
T. M. Zabolotskyy ◽  
◽  
...  

The paper is devoted to the investigation of statistical properties of the sample estimator of the beta coefficient in the case when the weights of benchmark portfolio are constant and for the target portfolio, the global minimum variance portfolio is taken. We provide the asymptotic distribution of the sample estimator of the beta coefficient assuming that the asset returns are multivariate normally distributed. Based on the asymptotic distribution we construct the confidence interval for the beta coefficient. We use the daily returns on the assets included in the DAX index for the period from 01.01.2018 to 30.09.2019 to compare empirical and asymptotic means, variances and densities of the standardized estimator for the beta coefficient. We obtain that the bias of the sample estimator converges to zero very slowly for a large number of assets in the portfolio. We present the adjusted estimator of the beta coefficient for which convergence of the empirical variances to the asymptotic ones is not significantly slower than for a sample estimator but the bias of the adjusted estimator is significantly smaller.


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