Multiperiod stochastic programming portfolio optimization for diversified funds
نویسندگان
چکیده
منابع مشابه
Lexicographic goal programming approach for portfolio optimization
This paper will investigate the optimum portfolio for an investor, taking into account 5 criteria. The mean variance model of portfolio optimization that was introduced by Markowitz includes two objective functions; these two criteria, risk and return do not encompass all of the information about investment; information like annual dividends, S&P star ranking and return in later years which is ...
متن کاملMaximum Downside Semi Deviation Stochastic Programming for Portfolio Optimization Problem
Abstract: The most important character within the optimization problem is the uncertainty of the future returns. To handle such problems, we utilize probabilistic methods alongside with optimization techniques. We develop single stage and two stage stochastic programming with recourse with the objective is to minimize the maximum downside semi deviation. We use the so-called “Here-and-Now” appr...
متن کاملA stochastic programming approach for multi-period portfolio optimization
Abstract — An Asset-Liability Management model with a novel strategy for controlling risk of underfunding is presented in this paper. The basic model involves Multi-Period decisions (portfolio optimization) and deals with the usual uncertainty of investment returns and future liabilities. Therefore, is it well suited to a stochastic programming approach. We consider the problem of rebalancing p...
متن کاملlexicographic goal programming approach for portfolio optimization
this paper will investigate the optimum portfolio for an investor, taking into account 5 criteria. the mean variance model of portfolio optimization that was introduced by markowitz includes two objective functions; these two criteria, risk and return do not encompass all of the information about investment; information like annual dividends, s&p star ranking and return in later years which...
متن کاملMultiperiod portfolio investment using stochastic programming with conditional value at risk
This paper proposes the portfolio stochastic programming (PSP) model and the stagewise portfolio stochastic programming (SPSP) model for investing in stocks in the Taiwan stock market. The SPSP model effectively reduces the computational resources needed to solve the PSP model. Additionally, the conditional value at risk (CVaR) is used as a risk measure in the models. In each period of investme...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Finance & Economics
سال: 2018
ISSN: 1076-9307
DOI: 10.1002/ijfe.1664