Author: Feiran TaoPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
This paper studies a fini ...
Discrete-Time Portfolio Optimization with Transaction Costs
Author: Feiran TaoPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
This paper studies a fini ...
The Effect of Transaction Costs on Portfolio Optimisation in Discrete Time
Author: Portfolio Optimisation and Option Pricing in Discrete Time with Transaction Costs
Author: Gary Sze Huat QuekDiscrete Time Portfolio Management with Transaction Costs
Author: A. D. IrvingPublisher:
ISBN:
Category : Economics
Languages : en
Pages : 20
Book Description
Discrete Portfolio Adjustment with Fixed Transaction Costs
Author: Linus WilsonPublisher:
ISBN:
Category :
Languages : en
Pages : 14
Book Description
This paper presents a closed form solution to the portfolio adjustment problem in discrete time when the investor faces fixed transaction costs. This transaction cost model assumes a mean-variance investor who wants to adjust her holdings of a risky and risk-free asset. It is shown how this model can be calibrated to be used with a variety of risk models such as life cycle portfolio weights and value at risk (VaR) models. The decision problem can easily be inputted into and calculated in Excel.
Markets with Transaction Costs
Author: Yuri KabanovPublisher: Springer Science & Business Media
ISBN: 3540681213
Category : Business & Economics
Languages : en
Pages : 306
Book Description
The book is the first monograph on this highly important subject.
Strategic Asset Allocation
Author: John Y. CampbellPublisher: OUP Oxford
ISBN: 019160691X
Category : Business & Economics
Languages : en
Pages : 272
Book Description
Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.
Multi-period Portfolio Optimization in the Presence of Transaction Costs
Author: Husnu KipeakPortfolio Optimization with Transaction Costs and Preconceived Portfolio Weights
Author: Jeremy Dale MyersPublisher:
ISBN:
Category :
Languages : en
Pages : 88
Book Description
In the financial world, many quantitative investment managers have developed sophisticated statistical techniques to generate signals about expected returns from previous market data. However, the manner in which they apply this information to rebalancing their portfolios is often ad-hoc, trading off between rebalancing their assets into an allocation that generates the greatest expected return based on the generated signals and the incurred transaction costs that the reallocation will require. In this thesis, we develop an approximation to our investor's true value function which incorporates both return predictability and transaction costs. By optimizing our approximate value function at each time step, we will generate a portfolio strategy that closely emulates the optimal portfolio strategy, which is based on the true value function. In order to determine the optimal set of parameters for our approximate function which will generate the best overall portfolio performance, we develop a simulation-based method. Our computational implementation is verified against well-known base cases. We determine the optimal parameters for our approximate function in the single stock and bond case. In addition, we determine a confidence level on our simulation results. Our approximate function gives us useful insight into the optimal portfolio allocation in complex higher dimensional cases. Our function derivation and simulation methodology extend easily to portfolio allocation in higher dimensional cases, and we implement the modifications required to run these simulations. Simple cases are tested and more complex tests are specified for testing when appropriate dedicated computing resources are available.
Optimal Portfolios
Author: Ralf KornPublisher: World Scientific
ISBN: 9810232152
Category : Business & Economics
Languages : en
Pages : 352
Book Description
The focus of the book is the construction of optimal investment strategies in a security market model where the prices follow diffusion processes. It begins by presenting the complete Black-Scholes type model and then moves on to incomplete models and models including constraints and transaction costs. The models and methods presented will include the stochastic control method of Merton, the martingale method of Cox-Huang and Karatzas et al., the log optimal method of Cover and Jamshidian, the value-preserving model of Hellwig etc. Stress is laid on rigorous mathematical presentation and clear economic interpretations while technicalities are kept to the minimum. The underlying mathematical concepts will be provided. No a priori knowledge of stochastic calculus, stochastic control or partial differential equations is necessary (however some knowledge in stochastics and calculus is needed).