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  1. Decisions in Economics and Finance
  2. Decisions in Economics and Finance : Volume 36
  3. Decisions in Economics and Finance : Volume 36, Issue 1, May 2013
  4. Investing equally in risk
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Decisions in Economics and Finance : Volume 39
Decisions in Economics and Finance : Volume 38
Decisions in Economics and Finance : Volume 37
Decisions in Economics and Finance : Volume 36
Decisions in Economics and Finance : Volume 36, Issue 2, November 2013
Decisions in Economics and Finance : Volume 36, Issue 1, May 2013
Optimal portfolio selection via conditional convex risk measures on L p
Performance of investment strategies in the absence of correct beliefs
Investing equally in risk
Option-based risk management of a bond portfolio under regime switching interest rates
Pricing VIX options with stochastic volatility and random jumps
Stackelberg problems with followers in the grand coalition of a Tu-game
Decisions in Economics and Finance : Volume 35
Decisions in Economics and Finance : Volume 34
Decisions in Economics and Finance : Volume 33
Decisions in Economics and Finance : Volume 32
Decisions in Economics and Finance : Volume 31
Decisions in Economics and Finance : Volume 30
Decisions in Economics and Finance : Volume 29
Decisions in Economics and Finance : Volume 28
Decisions in Economics and Finance : Volume 27
Decisions in Economics and Finance : Volume 26
Decisions in Economics and Finance : Volume 25
Decisions in Economics and Finance : Volume 24
Decisions in Economics and Finance : Volume 23
Decisions in Economics and Finance : Volume 22
Decisions in Economics and Finance : Volume 21
Decisions in Economics and Finance : Volume 20

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Investing equally in risk

Content Provider Springer Nature Link
Author Lindberg, Carl
Copyright Year 2011
Abstract Classical optimal strategies are notorious for producing remarkably volatile portfolio weights over time when applied with parameters estimated from data. This is predominantly explained by the difficulty to estimate expected returns accurately. In Lindberg (Bernoulli 15:464–474, 2009), a new parameterization of the drift rates was proposed with the aim to circumventing this difficulty, and a continuous time mean–variance optimal portfolio problem was solved. This approach was further developed in Alp and Korn (Decis Econ Finance 34:21–40, 2011a) to a jump-diffusion setting. In the present paper, we solve a different portfolio problem under the market parameterization in Lindberg (Bernoulli 15:464–474, 2009). Here, the admissible investment strategies are given as the amounts of money to be held in each stock and are allowed to be adapted stochastic processes. In the references above, the admissible strategies are the deterministic and bounded fractions of the total wealth. The optimal strategy we derive is not the same as in Lindberg (Bernoulli 15:464–474, 2009), but it can still be viewed as investing equally in each of the n Brownian motions in the model. As a consequence of the problem assumptions, the optimal final wealth can become non-negative. The present portfolio problem is solved also in Alp and Korn (Submitted, 2011b), using the L 2-projection approach of Schweizer (Ann Probab 22:1536–1575, 1995). However, our method of proof is direct and much easier accessible.
Starting Page 39
Ending Page 46
Page Count 8
File Format PDF
ISSN 15938883
Journal Decisions in Economics and Finance
Volume Number 36
Issue Number 1
e-ISSN 11296569
Language English
Publisher Springer Milan
Publisher Date 2011-08-27
Publisher Place Milan
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword 1/n strategy Black–Scholes model Expected stock returns Markowitz’ problem Mean–variance Portfolio optimization Economic Theory Econometrics Public Finance & Economics Finance/Investment/Banking Management/Business for Professionals Operations Research/Decision Theory
Content Type Text
Resource Type Article
Subject Finance
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