Linear predictability vs. bull and bear market models in strategic asset allocation decisions: evidence from UK data

Most papers in the portfolio choice literature have examined linear predictability frameworks based on the idea that simple but flexible Vector Autoregressive (VAR) models can be expanded to produce portfolio allocations that hedge against the bull and bear dynamics typical of financial markets through careful selection of predictor variables that capture business cycles and market sentiment. Yet, a distinct literature exists that shows that non-linear econometric frameworks, such as Markov switching, are also natural tools to compute optimal portfolios arising from the existence of good and bad market states. This paper examines whether and how simple VARs can produce portfolio rules similar to those obtained under a simple Markov switching, by studying the effects of expanding both the order of the VAR and the number/selection of predictor variables included. In a typical stock-bond strategic asset allocation problem for UK data, we compute the out-of-sample certainty equivalent returns for a wide range of VARs and compare these measures of performance with those of non-linear models. We conclude that most VARs cannot produce portfolio rules, hedging demands or (net of transaction costs) out-of-sample performances that approximate those obtained from simple non-linear frameworks.     

Determinants of pension funding and asset allocation decisions

Prior research suggests that the funding and asset allocation decisions for defined benefit pension plans may be based on tax, risk, and profitability factors. Much of the previous empirical work, however, suffers from statistical problems that may produce misleading or contradictory results. We employ a confirmatory factor analytic model to address the statistical problems plaguing pension research. Various competing hypotheses are tested simultaneously. Findings indicate that firms use pensions to offset business risk.An earlier version of this article was presented at the Financial Management Association Meetings held in Toronto, October 1993. Much of the work on this article was done while the authors were at the University of Texas-Arlington.     

The wisdom of crowds: Mutual fund investors’ aggregate asset allocation decisions

We find that the aggregate asset allocation decisions of US mutual fund investors depend on economic conditions. Both anticipated economic downturns and periods of turmoil lead investors to direct flow away from risky equity funds and towards lower-risk money market funds. These patterns are markedly stronger for investors in low cost and low turnover funds relative to investors in high cost and high turnover funds, consistent with sophisticated investors being more sensitive to changing conditions. Benchmarked against a buy-and-hold strategy, these asset allocation strategies reduce risk without degrading the risk-return trade-off. Our evidence suggests that individual investors, often dismissed as noise traders, collectively react to economic signals in a sensible manner when determining asset allocations.     

Capital requirements and bank behaviour: Empirical evidence for Switzerland

In recent years, regulators have increased their focus on the capital adequacy of banking institutions to enhance the stability of the financial system. The purpose of the present paper is to shed some light on whether and how Swiss Banks react to constraints placed by the regulator on their capital. Building on previous work by Shrieves and Dahl (cf. Shrieves, R.E., Dahl, D., 1992. The relationship between risk and capital in commercial banks. Journal of Banking and Finance 16, 439–457), we use a simultaneous equations model to analyse adjustments in capital and risk at Swiss banks, when those approach the minimum regulatory capital level. Our results indicate that regulatory pressure induce banks to increase their capital, but does not affect the level of risk.     

Political uncertainty and cross-border equity portfolio allocation decisions: International evidence

Political risk models highlight that political uncertainty matters for corporate investment decisions. However, how political uncertainty matters for investment allocation decisions is relatively under-explored. In this study, we examine the impact of political uncertainty associated with national elections on foreign equity portfolio in 48 countries. Our results indicate that political uncertainty reduces international equity allocations to the host country and such reduction appears more pronounced in the election year. Further analysis shows that the interaction between political uncertainty and institutional quality has a positive and significant effect on international equity portfolio flow, suggesting that the value of institutional quality outweighs the negative effects of political uncertainty. Lastly, we find equity home bias to be negative and significant; however, the interaction between political uncertainty and equity home bias appears insignificant.     

IPOs with and without allocation discretion: Empirical evidence

Bookbuilding, the dominant offering mechanism for IPOs, is controversial because of the power it gives underwriters over IPO allocations. Critics argue that allocations could be abused to generate kickbacks for underwriters while proponents hold that allocation power could improve pre-market price discovery. We examine underpricing, bidding, and allocations from two regimes in the Indian IPO market with varying underwriter allocation power. When underwriters control allocations, bookbuilding is associated with lesser underpricing, but the effect quickly dissipates when regulations withdraw allocation powers. Using proprietary datasets of IPO books in both regimes, we find that allocation powers are used quite extensively. Identical bids can receive significantly different allocations, which depend not only on the bid but also on the bidder identity. When allocation powers are withdrawn, we find evidence of bidder exit, new bidder entry, and altered bidding strategies with exit by both favored and unfavored bidders. Our evidence supports bookbuilding theories in which giving underwriters allocation powers assists in pre-market price discovery.     

The asset allocation decision in retirement: lessons from dollar-cost averaging

How should a retiree allocate his wealth between stocks and bonds? We address this question by studying whether it would have been better to have consumed periodically from stocks than from bonds over the seven decades of U.S. financial markets beginning in 1926 and ending in 1995. We find that retirees would have consistently done better by investing in stocks as opposed to bonds. When we analyze dispersion in consumption around its mean we find that there are greater chances for low consumption from the bond portfolio and greater chances for high consumption from the stock portfolio. Thus, we challenge the conventional wisdom that one should move away from stocks and towards bonds as one ages.     

Foreign bank entry,credit allocation and lending rates in emerging markets: Empirical evidence from Poland

Earlier studies have documented that foreign banks charge lower lending rates and interest spreads than domestic banks. We hypothesize that this may stem from the superior efficiency of foreign entrants that they decide to pass onto borrowers (“performance hypothesis”), but could also reflect a different loan allocation with respect to borrower transparency, loan maturity and currency (“portfolio composition hypothesis”). We are able to differentiate between the above hypotheses thanks to a novel dataset containing detailed bank-specific information for the Polish banking industry. Our findings demonstrate that banks differ significantly in terms of portfolio composition and we attest to the “portfolio composition hypothesis” by showing that, having controlled for portfolio composition, there are no differences in lending rates between banks.     

Intertemporal asset allocation: A comparison of methods

This paper compares two recent Monte Carlo methods advocated for the computation of optimal portfolio rules. The candidate methods are the approach based on Monte Carlo with Malliavin Derivatives (MCMD) proposed by Detemple, Garcia and Rindisbacher [Detemple et al., 2003. A Monte-Carlo method for optimal portfolios. Journal of Finance 58, 401–406] and the approach based on Monte Carlo with regression (MCR) of Brandt, Goyal, Santa-Clara and Stroud [Brandt et al., 2003. A simulation approach to dynamic portfolio choice with an application to learning about return predictability. Working paper, Wharton School]. Our comparisons are carried out in the context of various intertemporal portfolio choice problems with two assets, a risky asset and a riskless asset, and different configurations of the state variables. The specifications studied include a linear model with a single state variable admitting an exact solution and a non-linear model with two state variables that requires a purely numerical resolution. The accuracies of the candidate methods are compared. We provide, in particular, efficiency plots displaying the speed–accuracy trade-off for various selections of the relevant simulation and discretization parameters. MCMD is shown to dominate in all the settings considered.     

Active fund management: Global asset allocation funds

We examine the value of active fund management of global asset allocation funds. We use unique daily data and a modified Sharpe's [Sharpe, W., 1992. Asset allocation: management style and performance measurement. Journal of Portfolio Management 18, 7–19] Return-Based Style Analysis method to create a three-index model. We introduce an alternative method derived from Sharpe to calculate attribution returns that measure active fund management performance. Our results suggest that a sample of global asset allocation funds add value for investors. To determine the estimation ability of our model and the implications for estimated asset allocation decisions, we report historical and cross-sectional root mean square errors, which give positive indications of reliability.     

Empirical cross-sectional asset pricing: a survey

I review the state of empirical asset pricing devoted to understanding cross-sectional differences in average rates of return. Both methodologies and empirical evidence are surveyed. Tremendous progress has been made in understanding return patterns. At the same time, there is a need to synthesize the huge amount of collected evidence.     

Return predictability and intertemporal asset allocation: Evidence from a bias-adjusted VAR model

Within a VAR based intertemporal asset allocation model we explore the effects on return predictability and optimal asset allocation of adjusting VAR parameter estimates for small-sample bias. We apply a simple and easy-to-use analytical bias formula instead of bootstrap or Monte Carlo bias-adjustment. Regarding return predictability we show that bias-adjustment in the multivariate setup can yield very different results than in the univariate case. Furthermore, bias-correcting the VAR parameters has both quantitatively and qualitatively important effects on the optimal portfolio choice. For intermediate values of risk-aversion, the intertemporal hedging demand for bonds and stocks is heavily affected by the bias-correction. Utility calculations also show large effects of bias-adjustment, both in-sample and out-of-sample.     

Determinants of municipal loan spreads: empirical evidence from Switzerland

This is the first study to investigate the determinants of risk premia paid by Swiss municipalities in the German-speaking part of Switzerland. This paper draws on a unique data set for Swiss municipalities collected during four surveys. Our results show that fiscal soundness has almost no impact on risk premia and that the introduction of a no-bailout policy did not result in higher spreads. On the other hand, investors’ general risk aversion, as well as interest rate levels, are strongly related to spread levels.     

Timing and diversification: A state-dependent asset allocation approach

Abstract

The influence of changing economic environment leads the distribution of stock market returns to be time-varying. A conditionally optimal investment hence requires a dynamic adjustment of asset allocation. In this context, this paper examines the improvement in portfolio performance by simulating portfolio strategies that are conditioned on the Markov regime switching behaviour of stock market returns. Including a memory effect eliminates the empirical shortcoming of discrete state models, namely that they produce a standard and an extreme state in stock returns. So far, this has prevented the regimes from being used as a valuable conditioning variable. Based on a discrete state indicator variable, is presented evidence of considerable performance improvement relative to the static model due to optimal shifting between aggressive and well diversified portfolio structures.     

Value creation from asset sales: New evidence from bond and stock markets

This paper examines the influence of capital structure change on the value creation from asset sales. We find significant positive equity and debt excess returns are concentrated in the subsample of highly leveraged firms that use the proceeds to retire debt. Low leverage firms display no consistent significant excess equity or bond returns. The existent literature has focused on efficiency redistribution, increase in focus, and access to capital for investment as the primary drivers of value creation from asset sales and agency costs as a major factor that mitigates this value creation. The evidence presented in this paper suggests that the primary driver of value creation is from capital structure change for highly leveraged firms.     

Including commodity futures in asset allocation in China

In this paper, we investigate the role of eight commodity futures in asset allocation in China during the period January 2004–December 2015. The Chinese commodities and stocks are moderately correlated. We use quantile regressions based on a value-at-risk model to examine the relation between these two markets. We find no risk spillovers between the markets, suggesting that stocks and commodities in China are exposed to different risks. Using different asset allocation strategies, we show that including soymeal and soybeans in the Chinese stock index can offer some diversification gains. However, other Chinese commodities may not be useful for portfolio diversification.     

Risk aversion measures: comparing attitudes and asset allocation

Households' reported willingness to take financial risk is compared to the riskiness of their portfolios, measured as risky assets to wealth. Overall, their portfolio allocations are reliable indicators of attitudes toward risk, demonstrating an understanding of their relative level of risk taking. Multivariate regression analysis using multiply imputed data from the 1989 Survey of Consumer Finances indicates that households generally exhibit decreasing relative risk aversion. Further, investment in risky assets is significantly related to socioeconomic factors, attitude toward risk taking, desire to leave an estate and expectations about the adequacy of Social Security and pension income.     

Productivity-based asset pricing: Theory and evidence

In a general real business cycle model, we derive a pricing kernel that involves only production function arguments. The productivity shock is the single factor and the capital stock relative to a productivity measure is the conditioning variable. The model compares favorably with the complementary consumption-based and market-based approaches and with the Fama-French three-factor model. A size premium arises from differences in unconditional sensitivities—small firms are more sensitive to productivity shocks—and a value premium from differences in conditional sensitivities to productivity shocks—growth firms are more sensitive to productivity shocks when the productivity risk premium is low.     

The value of asset allocation advice: Evidence from The Economist's quarterly portfolio poll

This study analyzes the economic importance of portfolio advice for an investor with an international and multiple-asset investment strategy. We construct portfolios based upon the asset allocation and security market advice of major international investment bankers and analyze the performance using weight-based techniques. Our results indicate that portfolio advisers are not able to outperform passive benchmarks. They do not realize superior performance either through appropriate timing or selection skills. Apparent market timing skills as measured by the Portfolio Change Measure are to a large extent an artifact caused by serial correlation in the return indices used. Likewise, the apparent short-run performance persistence is more due to the serial correlation in returns than to active portfolio selection strategies.