Optimal Asset Allocation in Asset Liability Management

We study the impact of regulations on the investment decisions of a defined benefits pension plan. We assess the influence of ex ante (preventive) and ex post (punitive) risk constraints on the gains to dynamic, as opposed to myopic, decision making. We find that preventive measures, such as Value-at-Risk constraints, tend to decrease the gains to dynamic investment. In contrast, punitive constraints, such as mandatory additional contributions from the sponsor when the plan becomes underfunded, lead to very large utility gains from solving the dynamic program. We also show that financial reporting rules have real effects on investment behavior. For example, the current requirement to discount liabilities at a rolling average of yields, as opposed to at current yields, induces grossly suboptimal investment decisions.

Optimal Decentralized Investment Management

We study a decentralized investment problem in which a CIO employs multiple asset managers to implement and execute investment strategies in separate asset classes. The CIO allocates capital to the managers who, in turn, allocate these funds to the assets in their asset class. This two-step investment process causes several misalignments of objectives between the CIO and his managers and can lead to large utility costs on the part of the CIO. We focus on i) loss of diversification ii) different appetites for risk, iii) different investment horizons, and iv) the presence of liabilities. We derive an optimal unconditional linear performance benchmark and show that this benchmark can be used to better align incentives within the firm. The optimal benchmark substantially mitigates the utility costs of decentralized investment management. These costs can be further reduced when the CIO can screen asset managers on the basis of their risk appetites. Each manager%u2019s optimal level of risk aversion depends on the asset class he manages and can differ substantially from the CIO%u2019s level of risk aversion.

On the Timing and Pricing of Dividends

We present evidence on the term structure of the equity premium. We recover prices of dividend strips, which are short-term assets that pay dividends on the stock index every period up to period T and nothing thereafter. It is short-term relative to the index because the index pays dividends in perpetuity. We find that expected returns, Sharpe ratios, and volatilities on short-term assets are higher than on the index, while their CAPM betas are below one. Short-term assets are more volatile than their realizations, leading to excess volatility and return predictability. Our findings are inconsistent with many leading theories

Decentralized Decision Making In Investment Management

The article addresses the investment problem of a pension fund in which a centralized decision maker, the Chief Investment Officer (CIO), employs multiple asset managers to implement investment strategies in separate asset classes. The investment management division of pension funds is typically structured around traditional asset classes such as equities, fixed income, and alternative investments. The asset allocation decisions are made in at least two stages. Firstly, the CIO allocates capital to the different asset classes, each managed by a different asset manager. Secondly, each manager decides how to allocate the funds made available to him, that is, to the assets within his class. The CIO of the fund therefore faces a tradeoff between the benefits of decentralization, driven by the market timing and stock selection skills of the managers, and the costs of delegation and decentralization. The optimal portfolio of the asset managers can be decomposed into two components. The first component is the standard myopic demand that optimally exploits the risk-return trade-off. The second component minimizes the instantaneous return variance and is therefore labeled the minimum-variance portfolio. The minimum variance portfolio substitutes for the riskless asset in the optimal portfolio of the asset manager. The two components are then weighted by the risk attitude of the asset manager to arrive at the optimal portfolio

On the Timing and Pricing of Dividends

We recover prices of dividend strips on the aggregate stock market using data from derivatives markets. The price of a k-year dividend strip is the present value of the dividend paid in k years. The value of the stock market is the sum of all dividend strip prices across maturities. We study the properties of strips and find that expected returns, Sharpe ratios, and volatilities on short-term strips are higher than on the aggregate stock market, while their CAPM betas are well below one. Short-term strip prices are more volatile than their realizations, leading to excess volatility and return predictability.

A Closed-Form Solution of the Multi-Period Portfolio Choice Problem for a Quadratic Utility Function

In the present paper, we derive a closed-form solution of the multi-period portfolio choice problem for a quadratic utility function with and without a riskless asset. All results are derived under weak conditions on the asset returns. No assumption on the correlation structure between different time points is needed and no assumption on the distribution is imposed. All expressions are presented in terms of the conditional mean vectors and the conditional covariance matrices. If the multivariate process of the asset returns is independent it is shown that in the case without a riskless asset the solution is presented as a sequence of optimal portfolio weights obtained by solving the single-period Markowitz optimization problem. The process dynamics are included only in the shape parameter of the utility function. If a riskless asset is present then the multi-period optimal portfolio weights are proportional to the single-period solutions multiplied by time-varying constants which are depending on the process dynamics. Remarkably, in the case of a portfolio selection with the tangency portfolio the multi-period solution coincides with the sequence of the simple-period solutions. Finally, we compare the suggested strategies with existing multi-period portfolio allocation methods for real data.Comment: 38 pages, 9 figures, 3 tables, changes: VAR(1)-CCC-GARCH(1,1) process dynamics and the analysis of increasing horizon are included in the simulation study, under revision in Annals of Operations Researc

A Philosophy of “Doing” in the Digital

Playing in counterpoint with the general theoretical orientation of the book, this chapter does not focus its attention on the recording and archiving capabilities of the digital medium. Instead, it proposes an understanding of the digital medium that focuses on its disclosing various forms of “doing.” Gualeni’s chapter begins by offering an understanding of “doing in the digital” that methodologically separates “doing as acting” from “doing as making.” After setting its theoretical framework, the chapter discusses an “interactive thought experiment” designed by the author that is analyzed as a digital artifact leveraging both dimensions of “doing in the digital” for philosophical purposes. In extreme synthesis, one could say that this chapter is about several kinds of soups