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  • 1
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
    UID:
    edochu_18452_8955
    Format: 1 Online-Ressource (24 Seiten)
    Series Statement: Stochastic Programming E-Print Series 2003,2003,21
    Content: This paper extends Merton's continuous time (instantaneous) mean-variance analysis and the mutual fund separation theory. Given the existence of a Markovian state price density process, the optimal portfolios from concave utility maximization are instantaneously mean-variance efficient independent of the concave utility function's form. The Capital Asset Pricing Model holds with the market portfolio induced by the growth optimal portfolio. The Markowitz-Tobin mutual fund separation is extended to include the lognormal assumption for asset prices as a special case. Closed form solutions to the expected utility maximization of terminal portfolio value are derived. We present an example in which the state price processes are specified as a multivariate geometric Brownian motion and the asset prices follow a multivariate diffusion process with relatively general parameters.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 2
    UID:
    edochu_18452_8889
    Format: 1 Online-Ressource (31 Seiten)
    Series Statement: Stochastic Programming E-Print Series 2000,2000,13
    Content: This paper develops an approximate method for solving multiperiod utility maximization investment models with downside risk control characterized by the minimum attainable wealth among all possible scenarios. The stochastic control problem is decomposed into two subproblems: one is a static model identifying an " ideal" terminal wealth; and the other replicates the identified optimal portfolio by minimizing the downside replication deviation. The replicating portfolio coincides with the optimal solution to the investor's utility maximization problem for a market having general market asset return models. Multiperiod stochastic linear programming methodology yields an efficient test for the existence of arbitrage opportunities and for implementing the portfolio replication process. Instead of solving a dual programming model of a large scale stochastic linear programming for the required risk neutral probability, we decompose the problem to a sequence of deterministic linear programming models that characterize the conditional risk neutral probability at each node of a scenario. A numerical example illustrates the difference between the replicating result and the ideal portfolio, which statistically shows that including constraints can improve portfolio performance.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
    UID:
    edochu_18452_8869
    Format: 1 Online-Ressource (22 Seiten)
    Series Statement: Stochastic Programming E-Print Series 1999,1999,1
    Content: We discuss a new approach to asset allocation with transaction costs. A multi-period stochastic linear programming model is developed where the risk is based on the worst case payoff which is endogenously determined by the model. Utilizing portfolio protection and dynamic hedging, an investment strategy similar to that of a "multiple asset option" on the initial investment portfolio is characterized. The relative changes in the expected terminal wealth, planning target and risk aversion are studied theoretically and illustrated by a numerical example. This model dominates a static mean-variance model when the optimal portfolio is measured by the Sharpe ratio.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
    UID:
    edochu_18452_8890
    Format: 1 Online-Ressource (29 Seiten)
    Series Statement: Stochastic Programming E-Print Series 2000,2000,14
    Content: This paper derives the mean-variance efficient frontier and optimal portfolio policies for a dynamic investment model. In the absence of arbitrage opportunities, the optimal expected portfolio value can be identified through the state price density in a frictionless market using martingale analysis. The efficient frontier for the dynamic model is linear in the space of the standard deviation and the expected value of the terminal portfolio in the presence of a riskless asset as in the static mean-variance case. A replication procedure is developed to obtain the optimal portfolio policies using a partial differential equation. A closed form solution is derived if asset prices jointly follow a multidimensional geometric Brownian motion. A comparison is made between the optimal policies of the expected utility approach and a mean-variance analysis in the continuous time setting. For investors interested in the mean-variance criterion, we discuss and derive the optimal choice of target wealth that maximizes the probability that the mean-variance analysis outperforms the expected utility approach.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 5
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
    UID:
    edochu_18452_8922
    Format: 1 Online-Ressource (20 Seiten)
    Series Statement: Stochastic Programming E-Print Series 2002,2002,6
    Content: This paper discusses the allocation of capital over time with several risky assets. The capital growth log utility approach is used with conditions requiring that specific goals are achieved with high probability. The stochastic optimization model uses a disjunctive form for the probabilistic constraints, which identifies an outer problem of choosing an optimal set of scenarios, and an inner (conditional) problem of finding the optimal investment decisions for a given scenarios set. The multiperiod inner problem is composed of a sequence of conditional one period problems. The theory is illustrated for the dynamic allocation of wealth in stocks, bonds and cash equivalents.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 6
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
    UID:
    edochu_18452_8876
    Series Statement: Stochastic Programming E-Print Series 1999,2000,8
    Content: This paper presents a new stochastic model for investment. The investor's objective is to maximize the expected growth rate while controlling for downside risk. Assuming lognormally distributed prices, the strategy that determines the o optimal dynamic portfolio weights by changing risk neutral excess rate is determined by a stochastic differential equation. The maximum loss can be limited almost surely. A constrained optimization model is developed given investors' preference on the minimum subsistence reward among all possible scenarios. The relative changes in the expected terminal wealth, minimum subsistence and the risk aversion are studied. Taking VaR as the risk measure, the return/risk tradeoff efficient frontier is constructed. A comparison of the downside risk control model for a typical example to Buy and Hold (BH) and Fixed Mix (FM) strategic asset allocation models shows that the downside risk control model has superior performance in the return/VaR framework.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 7
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
    UID:
    edochu_18452_8956
    Format: 1 Online-Ressource (34 Seiten)
    Series Statement: Stochastic Programming E-Print Series 2003,2003,22
    Content: Nonzero transaction costs invalidate the Black-Scholes (1973) arbitrage argument based on continuous trading. Leland (1985) developed a hedging strategy which modifies the Black-Scholes hedging strategy with a volatility adjusted by the length of the rebalance interval and the rate of the proportional transaction cost. Leland claimed that the exact hedge could be achieved in the limit as the length of rebalance intervals approaches zero. Unfortunately, the main theorem (Leland 1985, P1290) is in error. Simulation results also confirm opposite findings to those in Leland (1985). Since standard delta hedging fails to exactly replicate the option in the presence of transaction costs, we study a pricing and hedging model which is similar to the delta hedging strategy with an endogenous parameter, namely the volatility, for the calculation of delta over time. With transaction costs, the optimally adjusted volatility is substantially different from the stock's volatility under the criterion of minimizing the mean absolute replication error weighted by the probabilities that the option is in or out of the money. This model partially explains the phenomenon that the implied volatilities with equity options are skewed. Data on S&P500 index cash options from January to June 2002 are used to illustrate the model. Option prices from our model are highly consistent with the Black-Scholes option prices when transaction costs are zero.
    Language: English
    URL: Volltext  (kostenfrei)
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