International Portfolio Investment: Theory, Evidence, and Institutional Framework

At first sight, the idea of investing internationally seems exciting and full of promise because of the many benefits of international portfolio investment. By investing in foreign securities, investors can participate in the growth of other countries, hedge their consumption basket against exchange rate risk, realize diversification effects and take advantage of market segmentation on a global scale. Even though these advantages might appear attractive, the risks of and constraints for international portfolio investment must not be overlooked. In an international context, financial investments are not only subject to currency risk and political risk, but there are many institutional constraints and barriers, significant among them a host of tax issues. These constraints, while being reduced by technology and policy, support the case for internationally segmented securities markets, with concomitant benefits for those who manage to overcome the barriers in an effective manner.     

The Role of Alternative Methodology on the Relation Between Portfolio Size and Diversification

An important concern in portfolio management is the number of securities needed to create a well-diversified portfolio. The number of securities that constitute a welldiversified portfolio, however, varies widely among studies. It is demonstrated that past conclusions are highly sensitive to the methodology used in quantifying diversification. This finding motivates the development of alternative methods that reduce the effect of repeated replications on test results. The first approach exploits the power curves of statistical tests, whereas the second approach suggests the use of more robust statistics. Both approaches provide researchers with guidance in the design of future diversification studies.     

AN EMPIRICAL INVESTIGATION OF BETA STABILITY: PORTFOLIOS VS. INDIVIDUAL SECURITIES

The concept that portfolio betas are more stable than betas for individual securities has become the 'conventional wisdom' in finance; statements to this effect may be found in many popular finance textbooks. The objective of this paper is to challenge the conventional wisdom. A random sample of individual stock returns and portfolio returns is used to compare the empirical distribution of beta shifts for individual firms and portfolios. The number of statistically significant changes in beta are no greater for individual securities than for portfolios.     

Noncompliance with non‐accounting securities regulations and GAAP violations

Using enforcement actions by the Securities and Exchange Commission (SEC) as a proxy for noncompliance with securities regulations, we examine whether a firm's compliance with non‐accounting laws and regulations is associated with GAAP violations. We find that firms that violate securities regulations related to non‐accounting issues are more likely to report accounting restatements than control firms that comply with securities regulations. We also find that the difference between the two groups is significant only for the periods subsequent to the start of the noncompliance period but not for periods prior to this date. Our results highlight the interrelation between the accounting and compliance systems, and suggest that managers who are non‐compliant with non‐accounting regulations are also more likely to be non‐compliant with accounting rules.     

证券投资基金投资组合与投资策略的匹配性研究

对证券投资基金行为选择的研究，一直是金融经济学关注的焦点问题之一。本文对我国证券投资基金投资组合的构建和调整与其投资策略的匹配性问题进行了研究，发现绝大部分证券投资基金存在实际投资所承担的风险远远偏离其投资策略所表明的风险偏好类型。同时，由于市场环境的变化，无论是风险偏好型还是风险中性的基金，在实际投资中大多转型成了风险规避型基金。     

权证对投资者投资偏好影响的实证研究

金融衍生产品的出现提高了证券市场信息传递的速度，知情交易者通过对衍生品的投资提高传递的效率。本文通过对我国权证市场和相应标的股票市场交易高频数据的研究，探讨知情交易者在权证市场出现后是否改变了投资的对象。实证结果表明，尽管有部分知情交易者投资了认购权证，但是并没有证据表明知情交易者偏好认沽权证。造成这一结果的原因可能是权证制度自身的缺陷。     

A Benchmark Approach to Portfolio Optimization under Partial Information

This paper proposes a filtering methodology for portfolio optimization when some factors of the underlying model are only partially observed. The level of information is given by the observed quantities that are here supposed to be the primary securities and empirical log-price covariations. For a given level of information we determine the growth optimal portfolio, identify locally optimal portfolios that are located on a corresponding Markowitz efficient frontier and present an approach for expected utility maximization. We also present an expected utility indifference pricing approach under partial information for the pricing of nonreplicable contracts. This results in a real world pricing formula under partial information that turns out to be independent of the subjective utility of the investor and for which an equivalent risk neutral probability measure need not exist.      

A General Equilibrium Model of International Portfolio Choice

We investigate, in a two-country general equilibrium model, whether a bias in consumption towards domestic goods will necessarily lead to a preference for domestic securities. We develop a model where investors are constrained to consume only from their domestic capital stock and where it is costly to transfer capital across countries. In this model, investors less risk averse than an investor with log utility bias their portfolios towards domestic assets. Investors more risk averse than log, however, prefer foreign assets. Thus, this model suggests that it is unlikely that the portfolios observed empirically can be explained by the high proportion of domestic goods in total consumption.     

Portfolio optimization with a defaultable security

In this paper we derive a closed-form solution for a representative investor who optimally allocates her wealth among the following securities: a credit-risky asset, a default-free bank account, and a stock. Although the inclusion of a credit-related financial product in the portfolio selection is more realistic, no closed-form solutions to date are given in the literature when a recovery value is considered in the event of a default. While most authors have assumed some recovery scheme in their initial model set up, they do not address the portfolio problem with a recovery when a default actually occurs. Given the tractability of the recovery of market value, we solved the optimal portfolio problem for the representative investor whose utility function is a Constant Relative Risk Aversion utility function. We find that the investor will allocate larger fraction of wealth to the defaultable security as long as the default-event risk is priced. These results are very intuitive and reasonable since it indicates that if the default risk premium is not priced properly the investor purchases less defaultable securities.     

The Impact of Portfolio Diversification on Trading Rules Profits: Some Evidence for UK Share Portfolios

This paper demonstrates how the autocorrelation structure of UK portfolio returns is linked to dynamic interrelationships among the component securities of that portfolio. Moreover, portfolio return autocorrelation is shown to be an increasing function of the number of securities in the portfolio. Since the security interrelationships seemed to be more a product of their history of non-synchronous trading than of systematic industry-related phenomena, it should not be possible to exploit the high levels of return persistence using trading rules. We show that rules designed to exploit this portfolio autocorrelation structure do not produce economic profits.     

Portfolio Diversification Effects of Downside Risk

Risk managers use portfolios to diversify away the unpricedrisk of individual securities. In this article we compare thebenefits of portfolio diversification for downside risk in casereturns are normally distributed with the case of fat-taileddistributed returns. The downside risk of a security is decomposedinto a part which is attributable to the market risk, an idiosyncraticpart, and a second independent factor. We show that the fat-tailed-baseddownside risk, measured as value-at-risk (VaR), should declinemore rapidly than the normal-based VaR. This result is confirmedempirically.     

Pitfalls in Levering and Unlevering Beta and Cost of Capital Estimates in DCF Valuations1

The “levering” and “unlevering” of estimates of beta and various costs of capital are routine steps in estimating the discount rates used in DCF valuations. But as the authors demonstrate by reviewing the existing research on the subject, the levering and unlevering formulas that are most commonly used in practice are not appropriate for valuing many companies. They also illustrate the shortcomings of—and substantial valuation errors that can result from—the common practices of assuming that the betas of securities like debt and preferred stock are equal to zero and ignoring the effects of equity‐linked securities such as employee stock options, warrants, and convertible debt. The authors offer alternative levering formulas that are more appropriate for valuing most companies than—and as readily implemented as—the formulas commonly used today. They also provide a relatively easy way to estimate betas for debt and preferred stock that can be used in the levering and unlevering formulas. The authors discuss how properly to account for equity‐linked securities such as employee stock options, warrants, and convertible debt while demonstrating the potential importance of ignoring such equity‐linked securities in the levering and unlevering formulas. Finally, the authors show why it is appropriate to standardize the treatment of contractual obligations such as leases across comparable companies in order to get consistent estimates of the unlevered cost of capital.     

Equity and debt issuance by firms violating GAAP

We examine security issuance in restated periods by firms that misreport financial statements and find that only a small per cent of such firms issues securities in the restated period. Investors are misled by mistakes made by firms issuing equity more so than other restating firms at the initial announcement of misreported earnings, but are not misled by mistakes made by debt‐issuing firms. Equity‐issuing firms that manage earnings to beat analyst expectations experience abnormally high returns in the restated period prior to security issuance. Firms that restated more reports and have higher pre‐mistake returns are more likely to issue equity. High leverage, firm size and number of restated periods are positively associated with the likelihood of debt issuance by restating firms.     

Do Portfolio Manager Contracts Contract Portfolio Management?

Most mutual fund managers have performance‐based contracts. Our theory predicts that mutual fund managers with asymmetric contracts and mid‐year performance close to their announced benchmark increase their portfolio risk in the second part of the year. As predicted by our theory, performance deviation from the benchmark decreases risk‐shifting only for managers with performance contracts. Deviation from the benchmark dominates incentives from the flow‐performance relation, suggesting that risk‐shifting is motivated more by management contracts than by a tournament to capture flows.     

THE LIQUIDITY ROUTE TO A LOWER COST OF CAPITAL

The managements of many public companies do not pay much attention to the liquidity of their securities. Many if not most CEOs and CFOs feel powerless to affect what goes on in financial markets, and a common attitude among top executives is that maintaining liquidity is the concern of the securities exchanges and the Securities and Exchange Commission. This approach may work for those companies whose stocks are already highly liquid—a group made up mainly of large‐cap companies, as well as a number of smaller high‐flying, high‐tech firms. But, for the vast majority of public companies—especially smaller and mid‐sized firms—this is likely to be the wrong policy. As the authors of this article demonstrated in their pioneering study (published in the Journal of Financial Economics in 1986), liquidity appears to be a major determinant of a company's cost of capital. As their theory suggests and their empirical tests confirmed, the more liquid a company's securities, the lower its cost of capital and the higher its stock price. And, as discussed in this article, academic research since then has produced a large and impressive body of evidence linking greater liquidity to higher stock prices. Although recent technological innovations such as Internet‐based trading have increased liquidity generally, not all companies appear to have benefited equally. The authors offer a number of suggestions for companies intent on increasing the liquidity of their stock. Specifically, they propose that managers do the following: (1) consider measures, such as stock splits, designed to increase their investor base by attracting small investors; (2) seek trading venues for their securities that promise to increase liquidity; and (3) take advantage of the new Internet technology to provide more and better information to investors. Moreover, for smaller companies with little or no analyst coverage, the authors offer the radical suggestion that such companies actually pay analysts to cover their stock, much as companies pay Moody's or Standard & Poors to rate their bonds. This, in the authors' view, would be a more efficient alternative to the current practice of using stock splits to encourage intermediaries to make markets in the firm's shares.     

基于雅可比矩阵下一种新的证券组合策略

在当前的金融环境下,不同产业之间交互渗透,各公司相互持股,仅依靠单一证券很难将风险分散出去,本文将目光放于组合证券,运用雅可比矩阵判断其相关性,从中选出相关性为0的组合证券,并对它们进行组合,从而最大程度的降低投资风险。     

Equilibrium in risk-sharing games

The large majority of risk-sharing transactions involve few agents, each of whom can heavily influence the structure and the prices of securities. In this paper, we propose a game where agents’ strategic sets consist of all possible sharing securities and pricing kernels that are consistent with Arrow–Debreu sharing rules. First, it is shown that agents’ best response problems have unique solutions. The risk-sharing Nash equilibrium admits a finite-dimensional characterisation, and it is proved to exist for an arbitrary number of agents and to be unique in the two-agent game. In equilibrium, agents declare beliefs on future random outcomes different from their actual probability assessments, and the risk-sharing securities are endogenously bounded, implying (among other things) loss of efficiency. In addition, an analysis regarding extremely risk-tolerant agents indicates that they profit more from the Nash risk-sharing equilibrium than compared to the Arrow–Debreu one.     

Portfolio selection, diversification and fund-of-funds: a note

The present paper examines the performance and diversification properties of active Australian equity fund‐of‐funds (FoF). Simulation analysis is employed to examine portfolio performance as a function of the number of funds in the portfolio. The present paper finds that as the number of funds in an FoF portfolio increases, performance improves in a mean–variance setting; however, measures of skewness and kurtosis behave less favourably given an investor's preferences for the higher moments of the return distribution. The majority of diversification benefits are realized when a portfolio of approximately 6 active equity funds are included in the FoF portfolio.     

Integrating Systemic Risk into Modern Portfolio Theory and Practice

Conventional wisdom holds that the performance of investment managers should be measured against some broad market index such as the S&P 500. The broad market averages provide a useful benchmark because they are assumed to be beyond the influence of investment managers and provide a way of capturing what financial economists call “systematic risk,” which is the part of total risk that cannot be avoided through portfolio diversification. But one clear limitation of such an approach to performance evaluation is that by focusing on risks and rewards at the portfolio level only, it fails to consider risks and rewards at a systemic level, where the performance of all portfolios is increasingly likely to be affected. The author begins by making the case that the performance evaluation and collective decision‐making of investment managers could have the effect of increasing the level of systematic risk in both the markets and the real economy. Then, after suggesting that the strength or weakness of environmental, social, and governance (ESG) frameworks can have substantial effects on overall market returns, he discusses a number of efforts currently underway to integrate ESG factors into portfolio‐level decision‐making. The author closes by urging asset owners to take the following three steps to help bridge the gap between investment decision‐making and ESG consequences: (1) acknowledge the connection between investment decision‐making and systems‐level risks and rewards; (2) determine which systemic frameworks are most appropriate and useful for their purposes; and (3) implement investment practices that allow them to manage systemic‐level risks and rewards while simultaneously achieving competitive financial returns in their portfolios. With the help of new measurement and management tools, asset owners can strengthen systemic frameworks, communicate the importance of ESG performance to their investees and investors, and align their efforts with those of governmental and non‐governmental organizations to limit systemic risk.     

Portfolio optimization under Expected Shortfall: contour maps of estimation error

The contour maps of the error of historical and parametric estimates of the global minimum risk for large random portfolios optimized under the Expected Shortfall (ES) risk measure are constructed. Similar maps for the VaR of the ES-optimized portfolio are also presented, along with results for the distribution of portfolio weights over the random samples and for the out-of-sample and in-sample estimates for ES. The contour maps allow one to quantitatively determine the sample size (the length of the time series) required by the optimization for a given number of different assets in the portfolio, at a given confidence level and a given level of relative estimation error. The necessary sample sizes invariably turn out to be unrealistically large for any reasonable choice of the number of assets and the confidence level. These results are obtained via analytical calculations based on methods borrowed from the statistical physics of random systems, supported by numerical simulations.