If only we always knew ahead of time.... The dream of any stock portfolio manager 1 is to allocate stocks in his portfolio in hindsight so as to always reach maximum 2 wealth. With hindsight, over a given time period, the best strategy is to invest into 3 the best performing stock over that period. However, even this appealing strategy is 4 not without regret. Reallocating everyday to the best ...

Using a data set on more than 300 UK pension funds' asset holdings, this paper provides a systematic investigation of the performance of managed portfolios across multiple asset classes. We ̄nd evidence of slow mean reversion in the funds' portfolio weights towards a common, time-varying strategic asset allocation. We also ̄nd surprisingly little cross-sectional variation in the average ex post...

Lifecycle funds offered to retirement plan participants gradually roll down their exposure to stocks while approaching the target date of retirement. This movement away from equities and towards less volatile assets like bonds and cash is done following an asset allocation principle which emphasizes growth of portfolio in the initial years and preservation in the later years. We show that such ...

Portfolio selection is a resource allocation problem in a finance market. The investor’s asset optimization requires the distribution of a set of capital (resources) among a set of entities (assets) with the trade-off between risk and return. The ANN with nonlinear capability is proven to solve a large-scale complex problem effectively. It is suitable to solve NP-hard resource allocation proble...

The investor's asset allocation choice deeply depends on the trade-off between risk and return. The well-known mean variance method requires predetermined risk and expected return to calculate optimal investment weights of portfolio. The artificial neural network (ANN) with nonlinear capability is proven to solve large-scale complex problem effectively. However, the traditional ANN model cannot...

Portfolio management is one of the most important areas of research in financial engineering. This paper is concerned with multi period decision problem for financial asset allocation when the rate of borrowing is greater than the rate of lending. Transaction costs as a source of concern for portfolio managers is also considered in this paper. The proposed method of this paper is formulated in ...

The present paper investigates the portfolio allocation decisions of an investor with infinite horizon when available financial assets differ in their degrees of liquidity. A model with risk neutral agents allows us to endogenously determine the liquidity premium. With risk averse agents, we develop a nontrivial portfolio allocation problem, which enables us to calculate the demand for an illiq...

We introduce an asset-allocation framework based on the active control of the value-at-risk of the portfolio. Within this framework, we compare two paradigms for making the allocation using neural networks. The first one uses the network to make a forecast of asset behavior, in conjunction with a traditional mean-variance allocator for constructing the portfolio. The second paradigm uses the ne...

Portfolio selection is concerned with optimization of capital allocation to a large number of securities. In portfolio selection, risk analysis is one of the most important topics and research on quantitative definition of risk remains core of the topic. This paper proposes a novel risk definition for portfolio selection with uncertain returns. A risk curve is introduced and a new safe criterio...