Momentum investing and the asset allocation decision

This study examines the active asset allocation decisions of Australian multisector fund managers to determine whether active fund managers engage in momentum strategies. We find evidence supporting the existence of momentum investing in active asset allocation strategies. This evidence exists in the Australian Equities, Australian Fixed Interest and Listed Property asset classes. Interestingly, balanced funds adopt contrarian strategies in the International Equities asset class. We also examine whether there is any association between a fund's market timing skill and the execution of momentum strategies. Our results show that fund managers with no market timing skill are momentum investors.     

On the equivalence of the static and dynamic asset allocation problems

A classic dynamic asset allocation problem optimizes the expected final-time utility of wealth, for an individual who can invest in a risky stock and a risk-free bond, trading continuously in time. Recently, several authors considered the corresponding static asset allocation problem in which the individual cannot trade but can invest in options as well as the underlying. The optimal static strategy can never do better than the optimal dynamic one. Surprisingly, however, for some market models the two approaches are equivalent. When this happens the static strategy is clearly preferable, since it avoids any impact of market frictions. This paper examines the question: when, exactly, are the static and dynamic approaches equivalent? We give an easily tested necessary and sufficient condition, and many non-trivial examples. Our analysis assumes that the stock follows a scalar diffusion process, and uses the completeness of the resulting market model. A simple special case is when the drift and volatility depend only on time; then the two approaches are equivalent precisely if (μ (t)? r)/σ²(t) is constant. This is not the Sharpe ratio or the market price of risk, but rather a nondimensional ratio of excess return to squared volatility that arises naturally in portfolio optimization problems.     

Macroeconomic announcement effects on the covariance structure of government bond returns

This paper concerns the effects of macroeconomic announcements on the covariance structure of US government bond returns for six different maturities; the study shows that the conditional variances, covariances, and correlation coefficients are significantly greater on announcement days. On non-announcement days, the correlation coefficients are relatively large and are greater the closer the bonds are with respect to the time to maturity. The maturity dependency is substantially dampened on announcement days and, hence, releases of macroeconomic news induce common movement in the government bond market that strengthen the correlations.     

Equity risk versus retirement adequacy: asset allocation solutions for KiwiSaver

New Zealand's KiwiSaver superannuation system operates with a conservatively low asset allocation towards equity investments. Evidence suggests ‘conservative’ portfolios are riskier than portfolios holding more growth assets when considering shortfall risk. This study employs stochastic simulation to determine the optimal asset allocation to improve the balance of probabilities for retirement adequacy. The findings show that KiwiSaver default funds are excessively conservative, preventing investors from reaching their retirement goals. Increasing the asset allocation to equities across the range of available KiwiSaver funds is the only solution to significantly improve retirement adequacy in New Zealand given the low contribution rates observed.     

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.     

Cross‐region and cross‐sector asset allocation with regimes

Cross‐region and cross‐sector asset allocation decisions are one of the most fundamental issues in international equity portfolio management. Equity returns exhibit higher volatilities and correlations, and lower expected returns, in bear markets compared to bull markets. However, static mean–variance analysis fails to capture this salient feature of equity returns. We accommodate the nonlinearity of returns using a regime switching model across both regions and sectors. The regime‐dependent asset allocation potentially adds value to the traditional static mean–variance allocation. In addition, optimal allocation across sectors provide greater benefits compared to international diversification, which is characterized by higher returns, lower risks, lower correlations with the world market and a higher Sharpe ratio.     

宏观经济统计数据公布对中国金融市场影响的实证研究

本文分别运用无市场预期和引入市场预期之后的GARCH模型,研究消费者物价指数、固定资产投资增速、消费品零售总额增速、贸易顺差额以及货币供应量这五个宏观经济数据的定期公布对于我国股票市场、债券市场及外汇市场波动的影响。我们发现在股票市场,CPI统计数据的公布加大了日收益率的波动率,而其它经济数据的公布减小了其波动率;债券市场和外汇市场由于市场化程度较低,宏观经济统计数据的公布对其价格行为的影响较小。     

Macroeconomic uncertainty and performance in the European Union

We use a very general bivariate GARCH-M model and monthly data on EU countries covering the 1962–2003 period to test for the impact of real (output growth) and nominal (inflation) macroeconomic uncertainty on inflation and output growth. Our evidence supports a number of important conclusions. First, in the majority of countries uncertainty regarding the output growth rate is related to the average growth rate and the effect in several countries is negative. Second, in half of the cases there is no significant relationship between inflation uncertainty and output growth performance. Third, inflation and output uncertainty have a mixed effect on inflation. Nevertheless, considerable evidence for the Cukierman–Meltzer hypothesis is obtained. Our conclusions are based on adopting both a structural and a reduced-form bivariate GARCH model. Finally, we also find statistically significant evidence of regime switching for both inflation and output growth volatility throughout the sample.     

我国微观主体资产选择行为对货币需求结构的影响

我国经济开放程度日益增加,经济转型程度逐步加深,处于经济转型期的居民、企业、金融机构等微观主体的资产选择行为发生了重要变化。文章对我国经济主体的资产选择行为对货币需求影响的作用机理进行深入的研究。通过不同样本区间的比较,分析宏观大环境发生变化的条件下,我国微观主体的资产选择行为对我国货币需求的影响路径,并根据实证结果提出保持较高利率水平下合理的利率市场化形成机制的政策建议。     

Economic value of analyst recommendations in Australia: an application of the Black–Litterman asset allocation model

This study empirically examines the investment value of security analyst recommendations on constituent stocks of the S&P/ASX 50 index. We find that stocks with favourable (unfavourable) recommendations on average outperformed (underperformed) the benchmark index. An investment strategy using the Black–Litterman asset allocation model that incorporates consensus analyst recommendations, in conjunction with daily rebalancing, outperforms the market in terms of return and risk‐adjusted performance measures. The investment strategy involves high levels of trading, and no significant abnormal returns are achieved after transaction costs. Less frequent rebalancing, under most situations, causes a decrease in both performance and turnover. Filtering of dated recommendations causes an increase in turnover, while having mixed effects on investment returns.     

资产周期特性与保险公司资产配置策略

在竞争激烈的保险市场上,作为盈利的两大支柱之一,保险公司资产管理的能力日趋重要,而保险公司资产配置是保险资产管理的核心,其研究意义就显得尤为重要。本文首先给出保险资产配置的意义与总体原则,然后从保险资金的来源和特性入手,在详细分析了美国、中国不同经济周期和市场周期下大类资产风险收益特性的基础之上,给出保险公司资产负债管理和资产配置的战略决策建议。     

A novel equity valuation and capital allocation model for use by long-term value-investors

We present a novel asset pricing model that captures the investment wisdom and stock-selection approach of the long-term value-investors Benjamin Graham and Warren Buffett. Taking a longer term view of business prospects and business risks, we explicitly consider the time period in which a business enjoys a competitive advantage over its peers as the central tenet of our model and capture the eventual demise of this competitive advantage in a probabilistic manner. Assuming that our investor has log utility, our model answers the question of capital allocation in a two-asset scenario. The model does not enforce the Efficient Market Hypothesis and is shown to explain some well-known empirical studies on stock returns.     

Modelling optimal asset allocation when households experience health shocks

Health status is an important factor in household portfolio decision-making. We develop a theoretical framework to model how households make optimal asset allocation decisions in response to health risks. Our two- and three-asset models both suggest that the maximum utility is derived when households allocate a majority of their assets to human capital. When households experience acute illness shocks, their welfare and portfolio values reduce, and they need to increase their investment in human capital. When an expensive health catastrophe befalls member(s) of households, the optimal decision for asset-rich households is to undertake medical treatment, whereas for asset-poor households it is to forgo treatment. Asset-poor households in particular require public financial assistance to enable them to invest in human capital.     

Household portfolio allocation,uncertainty, and risk

Analysing the Panel Study of Income Dynamics and the Health and Retirement Study, we investigate the extent to which US households reduce their financial risk exposure when confronted with background risk. Our novel modelling approach – termed a deflated ordered fractional model – quantifies how the overall composition of a household portfolio with three asset classes adjusts with background risk, and is unique in recovering for any given risky asset class the shares that are reallocated to each safer asset category. Background risk exerts a significant impact on household portfolios, inducing a ‘flight from risk’ from riskier to safer assets.     

Asset allocation using flexible dynamic correlation models with regime switching

The asset allocation decision is often considered as a trade-off between maximizing the expected return of a portfolio and minimizing the portfolio risk. The riskiness is evaluated in terms of variance of the portfolio return, so that it is fundamental to consider correctly the variance of its components and their correlations. The evidence for the heteroskedastic behaviour of the returns and the time-varying relationships among the portfolio components have recently shifted attention to the multivariate GARCH models with time varying correlation. In this work we insert a particular Markov Switching dynamics in some Dynamic Correlation models to consider the abrupt changes in correlations affecting the assets in different ways. This class of models is very general and provides several specifications, constraining some coefficients. The models are applied to solve a sectorial asset allocation problem and are compared with alternative models.     

Valuation, optimal asset allocation and retirement incentives of pension plans

We provide a framework in which we link the valuation and assetallocation policies of defined benefits plans with the lifetimemarginal productivity schedule of the worker and the pensionplan formula. In turn, we examine the retirement policies thatare implied by the primitives of the model and the value ofpension obligations. Our model provides an explicit valuationformula for a stylized defined benefits plan. The optimal assetallocation policies consist of the replicating portfolio independentof the pension liabilities. We show that the worker with retirewhen the ratio of pension benefits to current wages reachesa critical value which depends on the parameters of the pensionplan and the discount rate. Using numerical techniques we analyzethe feedback effect of retirement policies on the valuationof plans and on the asset allocation decisions.     

Strategic asset allocation for a country: the Norwegian case

This paper develops a simple strategic asset allocation model for a country with non-tradable assets and liabilities. Contemporaneous correlation does not capture the long-term relationship between the non-tradable items and the financial assets. I apply cointegration and duration matching to better identify the long-term relationship. The model is applied to the case of Norway. Simulations suggest that Norway should implement a strategy which entails a higher proportion (than today’s strategy) invested in stocks. Although the new strategy is superior in several criteria and as Norway reforms its social security system, there is still considerable risk that Norway will fail to meet its liabilities.      

Portfolio allocation and the investment horizon: a multiscaling approach

A new approach is proposed for analysing portfolio allocation over various time scales. This new approach is based on wavelet analysis, which decomposes a given time series on a scale-by-scale basis. Empirical results indicate that, as the investment horizon lengthens, a greater weighting should be allocated to stocks. An explanation for this result is that the mean-reverting property of stock returns causes investors to perceive that stocks are less risky than bonds and T-bills at longer time scales compared with shorter time scales. When we include the effect of risk aversion, it is found that the higher the risk aversion, the less the Sharpe ratio, indicating that a more conservative investor prefers a smoother consumption stream.     

Structural asset pricing theory with wavelets

We apply Fourier and wavelet decompositions to structural asset pricing models with time non-separable utility. Through simulations, we show how Fourier decompositions of the utility function, coupled with isolating certain frequencies of the stochastic consumption process, reveal a preference for temporal allocations. We demonstrate the usefulness of wavelets by highlighting their ability to isolate frequency and time, simultaneously. While much work has been devoted to wavelet applications of financial data, we are unaware of papers that use wavelets to analyze structural aspects of asset pricing models.     

中国宏观经济变量平稳性分析

本文采用目前国际上普遍应用的DF和ADF检验方法，对我国主要宏观经济变量的平稳性及单整阶数进行了单位根检验，研究结果显示中国宏观经济变量在5％显著性水平上都是非平稳的。