Robust Portfolio Optimization with Options under VE Constraint using Monte Carlo
نویسنده
چکیده
this paper proposes a robust portfolio optimization programming model with options. Under constrains of variance efficiency and shortfall preference structure, we derive optioned portfolios with the maximum expected return of robust counterpart. A numerical example using Monte Carlo illustrates some of the features and applications of this model.
منابع مشابه
Robust risk measurement and model risk
Financial risk measurement relies on models of prices and other market variables, but models inevitably rely on imperfect assumptions and estimates, creating model risk. Moreover, optimization decisions, such as portfolio selection, amplify the effect of model error. In this work, we develop a framework for quantifying the impact of model error and for measuring and minimizing risk in a way tha...
متن کاملRobustness-based portfolio optimization under epistemic uncertainty
In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...
متن کاملRobust Portfolio Optimization with risk measure CVAR under MGH distribution in DEA models
Financial returns exhibit stylized facts such as leptokurtosis, skewness and heavy-tailness. Regarding this behavior, in this paper, we apply multivariate generalized hyperbolic (mGH) distribution for portfolio modeling and performance evaluation, using conditional value at risk (CVaR) as a risk measure and allocating best weights for portfolio selection. Moreover, a robust portfolio optimizati...
متن کاملChebyshev Inequality based Approach to Chance Constrained Portfolio Optimization
A new approach to solve Chance constrained Portfolio Optimization Problems (CPOPs) without using the Monte Carlo simulation is proposed. Specifically, according to Chebyshev inequality, the prediction interval of a stochastic function value included in CPOP is estimated from a set of samples. By using the prediction interval, CPOP is transformed into Lower-bound Portfolio Optimization Problem (...
متن کاملPortfolio Optimization under Double Heston Duffie-Kan Model and the Price Calculation of the European Option
In this paper, we present a new version of the Double Heston model, where the mixed Duffie-Kan model is used to predict the volatility of the model instead of the CIR process. According to this model, we predict the stock price and calculate the European option price by using the Monte-Carlo method. Finally, by applying the proposed model, we find the optimal portfolio under the Cardinality Con...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- JCP
دوره 8 شماره
صفحات -
تاریخ انتشار 2013