The Diversification Effects of Initial Public Offerings

Abstract:  A firm's stock becomes publicly tradable through an initial public offering (IPO). This study suggests a portfolio diversification perspective to explore IPOs. We examine whether investors can gain diversification benefits by adding an IPO portfolio to a set of benchmark portfolios sorted by firm size and book-to-market ratio. Using US IPOs from 1980-2002, we find that adding a value-weighted IPO portfolio does lead to a statistically and economically significant enlargement of the investment opportunity set for investors relative to investing solely in a set of benchmark portfolios. Specifically, the Sharpe ratio of the tangency portfolio increases by 5.50% on average after including IPO stocks. Furthermore, IPOs associated with prestigious lead underwriters are the main source of this augmentation of the mean-variance investment opportunity set. Finally, our study implies that issuing IPO exchange traded funds or similar products can provide diversification gains to investors.     

International diversification with securitized real estate and the veiling glare from currency risk

This paper analyzes diversification benefits from international securitized real estate in a mixed-asset context. We apply regression-based mean-variance efficiency tests, conditional on currency-unhedged and fully hedged portfolios to account for systematic foreign exchange movements. From the perspective of a US investor, it is shown that, first, international diversification is superior to a US mixed-asset portfolio, second, adding international real estate to an already internationally diversified stock and bond portfolio results in a further significant improvement of the risk-return trade-off and, third, considering unhedged international assets could lead to biased asset allocation decisions not realizing the true diversification benefits from international assets.     

The diversification effects of volatility-related assets

We examine whether investors can improve their investment opportunity sets through the addition of volatility-related assets into various groupings of benchmark portfolios. By first analyzing the weekly returns of three VIX-related assets over the period 1996-2008 and then applying mean-variance spanning tests, we find that adding VIX-related assets does lead to a statistically significant enlargement of the investment opportunity set for investors. Our empirical findings are robust and have two implications. First, there is scope for the further development of financial products relating to volatility indexes. Second, hedge fund managers can utilize VIX futures contracts or VIX-squared portfolios to enhance their equity portfolio performance, as measured by the Sharpe ratio.     

The determinants of MFIs’ social and financial performances in sub-Saharan Africa: has mission drift occurred?

This paper studies the determinants of microfinance institutions’ (MFIs) financial performance (FP: self-sustainability and profitability) and social performance (SP: depth of outreach), and examine the FP/SP tradeoffs they face. Based on a sample of 120 MFIs over the period 2000–2009, we use the random effects method to isolate the effect of fixed-time factors such as loan lending technique, legal status and location (sub-region) on MFIs’ behavior. We find that financial expenses, wages and portfolio quality, mainly influence MFIs’ financial performance whereas social performance is mostly influenced by lending methodology and institutional form, and to a lesser extent by location. The analysis of FP–SP shows that mission drift is a concern primarily for banks, mutual/cooperatives and individual lenders. The results question the trend toward microfinance commercialization since it weakens outreach without improving significantly self-sustainability and profitability.     

行业组合视角下的银行信贷优化管理——基于中国商业银行的优化模型设计与实证分析

本文在经济下行周期的背景下,从行业组合的视角探讨商业银行如何根据国家政策及自身战略积极布局信贷资产,从被动调控向主动管理转变,实现收益、风险及资本的优化.本文提出两个优化模型——基于最优增长率的均值方差基准模型和专家判断的主动配置模型,通过加入风险相关性、风险容忍度、经济资本等约束,为银行在不同风险偏好下积极配置资产提...     

Cheap Credit,Lending Operations,and International Politics: The Case of Global Microfinance

The provision of subsidized credit to financial institutions is an important and frequently used policy tool of governments and central banks. To assess its effectiveness, we exploit changes in international bilateral political relationships that generate shocks to the cost of financing for microfinance institutions (MFIs). MFIs that experience politically driven reductions in total borrowing costs hire more staff and increase administrative expenses. Cheap credit leads to greater profitability for MFIs and promotes a shift toward noncommercial loans but has no effect on total overall lending. Instead, the additional resources are either directed to promoting future growth or dissipated.     

Mean-variance optimization using forward-looking return estimates

Despite its theoretical appeal, Markowitz mean-variance portfolio optimization is plagued by practical issues. It is especially difficult to obtain reliable estimates of a stock’s expected return. Recent research has therefore focused on minimum volatility portfolio optimization, which implicitly assumes that expected returns for all assets are equal. We argue that investors are better off using the implied cost of capital based on analysts’ earnings forecasts as a forward-looking return estimate. Correcting for predictable analyst forecast errors, we demonstrate that mean-variance optimized portfolios based on these estimates outperform on both an absolute and a risk-adjusted basis the minimum volatility portfolio as well as naive benchmarks, such as the value-weighted and equally-weighted market portfolio. The results continue to hold when extending the sample to international markets, using different methods for estimating the forward-looking return, including transaction costs, and using different optimization constraints.

     

International portfolio selection and efficiency analysis

In the risk-return tradeoff, the traditional mean-variance analysis has been widely used for studies of international portfolio efficiency and diversification. Without prior knowledge about either the parametric structure of assets' return distributions or the form of investors' preference functions, the variance may no longer serve as a suitable risk proxy. This article examines international portfolio efficiency and diversification effects through mean-variance and various distribution-free (or less restrictive) risk-return measures. We show empirically that the mean-variance model is appropriate for large or well-diversified portfolios, but may provide biased results for single assets and less diversified portfolios. While stochastic dominance stands as theoretically the most appropriate method of international portfolio selection and efficiency analysis, the lack of optimal search algorithms reduces its practical usefulness. Very little gain is obtained by using the Gini-mean-difference risk measure as compared to the semivariance measure. The semivariance measure is a powerful and convenient discriminator of risky prospects, while stochastic dominance can serve as a benchmark to justify portfolio efficiency.     

ASSET PRICING WITH IN- AND OUTFLOW CONSTRAINTS: THEORY AND EMPIRICAL EVIDENCE FROM SWEDEN

The paper analyzes asset pricing and portfolio choice when domestic investors collectively cannot hold foreign assets beyond a maximum value. We add the constraint that foreign investors cannot hold more than a fraction of the shares of domestic assets. Consistent with Swedish stock market data, both domestic and foreign investors pay premiums for investing in the other country's assets. Some empirical observations are inconsistent with the CAPM framework.     

Characteristic-based mean-variance portfolio choice

We study empirical mean-variance optimization when the portfolio weights are restricted to be direct functions of underlying stock characteristics such as value and momentum. The closed-form solution to the portfolio weights estimator shows that the portfolio problem in this case reduces to a mean-variance analysis of assets with returns given by single-characteristic strategies (e.g., momentum or value). In an empirical application to international stock return indexes, we show that the direct approach to estimating portfolio weights clearly beats a naive regression-based approach that models the conditional mean. However, a portfolio based on equal weights of the single-characteristic strategies performs about as well, and sometimes better, than the direct estimation approach, highlighting again the difficulties in beating the equal-weighted case in mean-variance analysis. The empirical results also highlight the potential for ‘stock-picking’ in international indexes using characteristics such as value and momentum with the characteristic-based portfolios obtaining Sharpe ratios approximately three times larger than the world market.     

Coping with impact investing antagonistic objectives: A multistakeholder approach

Impact investing (II) aims to achieve positive social and environmental impact and create blended value through sustainable value propositions. Building and expanding on a diverse and growing research corpus on socially responsible investing (SRI), social impact bonds (SIB) and social enterprises our study investigates the structuring elements of impact investing, its dynamics and trajectory. A particular emphasis is placed on the complex web of interactions among numerous stakeholders (i.e. banks, institutional investors, portfolio managers, public, for-profit and nonprofit organizations and social enterprises) with opposing objectives and antagonistic assets in sourcing and channeling financial resources. This paper highlights the importance of adopting a multistakeholder approach when examining the financial ecosystem within which II intermediaries operate and collaborate achieve maximum social and environmental impact.     

Long-term U.S. infrastructure returns and portfolio selection

Our understanding of the long-term return behavior and portfolio characteristics of public infrastructure investments is limited by a relatively short history of empirical data. We re-construct U.S. listed infrastructure index returns by mapping their monthly performance to received systematic and industry risk factors from 1927 through 2010. Our findings reveal that the infrastructure returns in recent years may understate the tail-risk that investors could experience over the long-term, however, this tail-risk is commensurate with holding a broad portfolio of U.S. stocks. For mean-variance and mean-CVaR investors, we report the benefits of holding public infrastructure assets in investment portfolios.     

Realistic Portfolio Allocation Decision-Making For The Small U.S. Retail Investor

This study introduces new domestic mixed-asset and international equity securities that allow for exact portfolio replication even by small U.S. retail investors. Using these new series, various return characteristics are examined. Finally, three sets of mean-variance analyses are conducted: a domestic equity sector-only portfolio, a domestic mixed-asset portfolio, and an international mixed-asset portfolio. Real estate warrants inclusion to varying degrees in all three portfolios. International equity inclusion was also demonstrated.     

Portfolio selection with mental accounts and delegation

Das et al. (2010) develop an elegant framework where an investor selects portfolios within mental accounts but ends up holding an aggregate portfolio on the mean-variance frontier. This investor directly allocates the wealth in each account among available assets. In practice, however, investors often delegate the task of allocating wealth among assets to portfolio managers who seek to beat certain benchmarks. Accordingly, we extend their framework to the case where the investor allocates the wealth in each account among portfolio managers. Our contribution is threefold. First, we provide an analytical characterization of the existence and composition of the optimal portfolios within accounts and the aggregate portfolio. Second, we present conditions under which such portfolios are not on the mean-variance frontier, and conditions under which they are. Third, we show that the aforementioned analytical characterization is also applicable within the framework of Das et al. and thus improves upon their numerical approach.     

Promoting Entrepreneurship at the Base of the Social Pyramid via Pricing Systems: A case Study

Historically, microfinance institutions (MFIs) have played a significant social role by helping people at the base of the socio‐economic pyramid escape from social exclusion through the creation of microenterprises. However, international banks have recently started competing in the microfinance sector. In this adverse environment, MFI management tools should be more innovative and technologically advanced to increase efficiency, solvency and profitability and to compete with commercial banks on equal terms. This study therefore strives to develop a credit‐risk management tool based on a multilayer perceptron (MLP) credit‐scoring model for a Peruvian MFI, and to calculate the capital requirements and microcredit pricing on both internal ratings‐based (IRB) and standardized approaches, analysing the impact of these models on the management of the MFI. Our findings show that the implementation of an IRB approach with default probabilities obtained from an MLP credit‐scoring model produces the best benefit by the MFIs in terms of higher accuracy (reduction of misclassification costs by 13.78%), lower capital requirements (in the range of 8.5–78%) and the best risk‐adjusted interest rates. Furthermore, with the establishment of interest rates adjusted to the real risk of each client, MFIs are fairer and more socially engaged by preventing economically viable low‐risk projects from becoming unviable due to excessive interest rates. This leads to the creation of more small businesses by people from the base of the socio‐economic pyramid and greater economic development and social cohesion. The IRB model should therefore be implemented to improve MFI solvency, profitability, efficiency, survival, management and social performance.     

Diamonds vs. precious metals: What shines brightest in your investment portfolio?

Several studies explore the use of gold and other precious metals for protecting investors’ wealth during periods of market turmoil. However, alternative investments, although increasing in popularity, still remain unfamiliar to the majority of investors. We explore the safe haven and hedging properties of diamonds versus precious metals in an international study to evaluate diamonds as a viable investment alternative. Furthermore, we compare the performance between the returns of physical diamonds and diamond indices. Our analysis indicates superior performance by precious metals compared to diamonds. However, investors enjoy greater benefit from directly investing in physical diamonds rather than diamond indices. For investors looking to protect their assets against highly volatile market conditions, precious metals remain a better option. Investors should continue to keep abreast of developments with the evolution of the diamond investments industry and physical diamonds can be included in a portfolio for their downside diversification potential.     

Do IPO index portfolios improve the investment opportunities for mean–variance investors?

We set out in this study to examine whether investors can improve their investment opportunity sets through the addition of an IPO index portfolio into various sets of benchmark portfolios. Using the IPOX indices from the years 1980–2006, we find that adding an IPO index portfolio does lead to a statistically significant enlargement of the investment opportunity set for investors. Our empirical findings are robust, demonstrating that there is scope for the further development of financial products relating to IPO stocks, since investors can gain diversification benefits through investing in such IPO-related products.     

International Portfolio Investment Flows

This article develops a model of international equity portfolio investment flows based on differences in informational endowments between foreign and domestic investors. It is shown that when domestic investors possess a cumulative information advantage over foreign investors about their domestic market, investors tend to purchase foreign assets in periods when the return on foreign assets is high and to sell when the return is low. The implications of the model are tested using data on United States (U.S.) equity portfolio flows.     

International portfolio diversification benefits: Cross-country evidence from a local perspective

We investigate how the benefits of international portfolio diversification differ across countries from the perspective of a local investor. We find that the benefits of investing abroad are largest for investors in developing countries, including when controlling for currency effects. Most of the benefits are obtained from investing outside the region of the home country. These global diversification benefits remain large when controlling for short-sales constraints in developing stock markets. The gains from international portfolio diversification appear to be largest for countries with high country risk. In addition to this cross-sectional evidence, we also provide evidence that diversification benefits vary over time as country risk changes. We find that diversification benefits have decreased for most countries in our sample over the past two decades.     

Equity Home‐Bias: A Suboptimal Choice for UK investors?

In spite of the popularity of international portfolio diversification theory, extant empirical literature shows that investors prefer domestic assets and as a result, many studies argue that investors' portfolios are largely suboptimal. This paper examines whether British investors need to diversify their portfolios internationally to gain performance benefits from international markets or can they obtain these benefits by mimicking the portfolios with domestically traded assets. The results confirm that it is possible to mimic the performance of foreign equity with domestic equity. Indeed, the pay‐offs from homemade portfolios outperform those from international portfolios regardless of the periodic variation in the overall performance of the UK market vis‐à‐vis foreign markets. The superiority of homemade portfolio is more prominent in recent years and is enhanced by the increased internationalisation of developed capital markets. Therefore, investors' home bias is not suboptimal.