Do Socially Responsible Index Investors Incur an Opportunity Cost?

We construct index‐tracking portfolios using integer programming and then compare the tracking errors and performances of portfolios formed from an unrestricted and socially screened stock universe. We find that one can construct a portfolio of socially responsible stocks that deliver market performance. Thus, the exclusion of a set of stocks from consideration does not exhaust the existence of efficient index‐tracking portfolios, especially when the exclusionary screen is for nonfinancial reasons. Our results are robust to various specifications in constructing the portfolio, for example, number of stocks included in the portfolio and weighting schemes, and robust to alternative tracking error measurement; we show that the difference induced from conducting socially responsible screen is never statistically significant.     

Active portfolio management with benchmarking: A frontier based on alpha

Active portfolio management often involves the objective of selecting a portfolio with minimum tracking error variance (TEV) for some expected gain in return over a benchmark. However, Roll (1992) shows that such portfolios are generally suboptimal because they do not belong to the mean-variance frontier and are thus overly risky. Our paper proposes an appealing method to lessen this suboptimality that involves the objective of selecting a portfolio from the set of portfolios that have minimum TEV for various levels of ex-ante alpha, which we refer to as the alpha-TEV frontier. Since practitioners commonly use ex-post alpha to assess the performance of managers, the use of this frontier aligns the objectives of managers with how their performance is evaluated. Furthermore, sensible choices of ex-ante alpha lead to the selection of portfolios that are less risky (in variance terms) than the portfolios that active managers would otherwise select.     

Individual investors’ information use,subjective expectations,and portfolio risk and return

What information do individual investors use when making their financial decisions and how is it related to their stock market expectations, their confidence in these expectations, and the risk and return of their stock portfolios? I study these questions by combining survey data on the information usage among individual investors in Sweden with detailed registry data on their stock portfolios. I find that investors use filtered financial information (e.g. information packaged by a professional intermediary) more frequently than they use unfiltered financial information (e.g. information from annual reports and financial statements). Investors who frequently use filtered financial information are, however, more confident in their stock market expectations and take larger risks in their stock portfolios. Investors that instead use unfiltered financial information take lower portfolio risks and obtain higher portfolio returns. The findings in this paper thus suggest that investors can improve their financial decisions by using more unfiltered financial information rather than filtered financial information when they make their financial decisions.     

On Indexing Commercial Real Estate Properties and Portfolios

Commercial real estate indices play an important role in performance evaluation and overall investment strategy. However, the issue of how representative they are of the returns on portfolios of commercial properties is an open issue. Our study addresses this topic by analyzing a sample of 12,427 repeat sales transactions between Q4 2000 and Q2 2011. We find that the aggregate real estate indices (Moody’s REAL CPPI) do a good job of tracking real returns when portfolios of more than 20 properties are considered. At this level, tracking is somewhat less effective than our benchmark of the S&P500 and its component stocks. Compared to the average root mean squared deviation (RMSD) from one asset, randomly selected portfolios with 20 assets reduce the RMSD by 75 % for the S&P500 compared to 66 % for the aggregate index. These results suggest that the aggregate indices can be effective in hedging and evaluating the performance of direct real estate investment. We further find that tracking at the property type level provides little benefit over using an aggregate index. However, indexing using a property type and location matched index provides lower tracking error for any level of diversification.     

Optimal delegated portfolio management with background risk

Most investors delegate the management of a fraction of their wealth to portfolio managers who are given the task of beating a benchmark. However, in an influential paper [Roll, R., 1992. A mean/variance analysis of tracking error. Journal of Portfolio Management 18, 13–22] shows that the objective functions commonly used by these managers lead to the selection of portfolios that are suboptimal from the perspective of investors. In this paper, we provide an explanation for the use of these objective functions based on the effect of background risk on investors’ optimal portfolios. Our main contribution is to provide conditions under which investors can optimally delegate the management of their wealth to portfolio managers.     

The integration of zero-base budgeting with management-by-objectives: An empirical inquiry

Popular arguments in the management literature advocate the implementation congruity and complementarity of zero-base budgeting (ZBB) with an established management-by-objectives (MBO) system. The present study examined management perceptions on 28 ZBB implementation variables for MBO users and non-MBO users which were gathered from 153 managers at two hierarchical levels within a single private sector organization. Results from both univariate and multivariate tests indicate that ZBB implementation was not facilitated by the existence of an MBO system for either lower level management or for upper level management. The evidence obtained here strongly suggests that the purported conventional rationale underlying ZBB coupling with an extant MBO system is seriously defective; ZBB design implementation issues need to be thoroughly re-assessed, with the emphasis on matching compatible systemic properties between information sub-systems.     

Dynamic web server construction on the intranet using a change management framework

As organizations increasingly emphasize effective collaborative working through networked systems, the World Wide Web (WWW) server and associated intranet technologies are gaining wider acceptance as a new enterprisewide information systems paradigm. In an intranet collaborative working environment, data used in the web server are usually modified more frequently than are those used in a traditional Internet web server. Thus, to support synchronous collaboration without causing any inconsistency among multiple concurrent users, the intranet web server must provide users with synchronized and consistent views of shared data. However, current web technologies have limitations in supporting this, largely because the existing Hypertext Transfer Protocol (HTTP) is unidirectional and does not allow web servers to send messages to their web browsers without first receiving requests from them. This paper proposes a web-based change management framework that can overcome such limitations and support synchronous collaboration in an intranet computing environment. The web-based change management framework facilitates management of dependency relationships between shared data in the web server and dependent user views in the client web browser and allows the web server to actively propagate changing details of the shared objects to all users referencing them. On the basis of the change management framework, we propose a dynamic web server that can support synchronous collaboration in various intranet-based collaborative systems including concurrent engineering design systems and electronic approval systems. The prototype system of the dynamic web server is developed on a commercial Object-oriented Database Management System (ODBMS) called OBJECTSTORE using the C++ programming language. Copyright © 1999 John Wiley & Sons, Ltd.     

Analysts' Roundtable on Integrating ESG into Investment Decision‐Making

In this third of the three discussions that took place at the SASB 2016 Symposium, practitioners of a broad range of investment approaches—active as well as passive in both equities and fixed‐income—explain how and why they use ESG information when evaluating companies and making their investment decisions. There was general agreement that successful ESG investing depends on integrating ESG factors with the methods and data of traditional “fundamental” financial statement analysis. And in support of this claim, a number of the panelists noted that some of the world's best “business value investors,” including Warren Buffett, have long incorporated environmental, social, and governance considerations into their investment decision‐making. In the analysis of such active fundamental investors, ESG concerns tend to show up as risk factors that can translate into higher costs of capital and lower values. And companies' effectiveness in managing such factors, as ref lected in high ESG scores and rankings, is viewed by many fundamental investors as an indicator of management “quality,” a reliable demonstration of the corporate commitment to investing in the company's future. Moreover, some fixed‐income investors are equally if not more concerned than equity investors about ESG exposures. ESG factors can have pronounced effects on performance by generating “tail risks” that can materialize in both going‐concern and default scenarios. And the rating agencies have long attempted to reflect some of these risks in their analysis, though with mixed success. What is relatively new, however, is the frequency with which fixed income investors are engaging companies on ESG topics. And even large institutional investors with heavily indexed portfolios have become more aggressive in engaging their portfolio companies on ESG issues. Although the traditional ESG filters used by such investors were designed mainly just to screen out tobacco, firearms, and other “sin” shares from equity portfolios, investors' interest in “tilting” their portfolios toward positive sustainability factors, in the form of lowcarbon and gender‐balanced ETFs and other kinds of “smart beta” portfolios, has gained considerable momentum.     

Preparing for higher inflation: Portfolio solutions using U.S. equities

Investors have always been interested in reducing inflation risk in their portfolios. However, investors face different types of inflation than those measured by the Consumer Price Index (CPI). Moreover, different asset classes can be used to hedge portfolio inflation. In this paper, we show how individual equities can be used to construct equity portfolios sensitive to customized inflation targets. We illustrate portfolios for three types of inflation: US headline CPI, Forbes Cost of Living Extremely Well Index, and the US Medical Care Price Index. We also show how alternative weighting schemes, such as minimum volatility and maximum inflation beta, can be used to construct inflation‐hedged portfolios.     

Tracking down distress risk

This paper shows that exposure to aggregate distress risk is the underlying source of the premiums for the Fama-French size (SMB) and value (HML) factors. Using a unique data set of aggregate business failures of both private and public firms from 1926 to 1997, I build portfolios that track news about future firm failures. These tracking portfolios optimally hedge aggregate distress risk and earn a Capital Asset Pricing Model (CAPM) alpha of approximately −4% a year. Both HML and SMB predict changes in future failure rates. Small stocks have lower returns than large stocks and value stocks have lower returns than growth stocks when the market expects an increase in future failure rates. Finally, a two-factor model with the market and the tracking portfolio for aggregate distress as factors does as well as the Fama-French three-factor model in pricing the 25 size and book-to-market sorted portfolios.     

DNA Mining and genealogical information systems: Not just for finding family ethnicity

The primary expected use of DNA and genealogy sites has been their ability to help users find their family, find their ethnicity and to help them connect with distant relatives. In so doing such sites help users to “learn more about themselves.” Such systems have also been proposed to have the broader goals of helping connect mankind and show people how their similarities are greater than their differences. However, the use of DNA and genealogy information recently turned away from just finding family connections, ethnicity and origins. Recently it was announced that the “Golden State Killer” had been caught using information generated from using DNA and consumer genealogical websites. This paper investigates some of the questions and unanticipated consequences raised by this alternative use of these technologies and their impact on individuals, organizations and society. As part of that analysis we analyze some of the immediate consequences on the firm from which the DNA information was gathered, the new emerging approach used by law enforcement, some privacy concerns and provide a network game formulation as a means to model user behavior. Finally, we examine some potential emerging research issues.     

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.     

Bank Capital Regulation of Trading Portfolios: An Assessment of the Basel Framework

In setting minimum capital requirements for trading portfolios, the Basel Committee on Banking Supervision (1996, 2011a, 2013) initially used Value‐at‐Risk (VaR), then both VaR and stressed VaR (SVaR), and most recently, stressed Conditional VaR (SCVaR). Accordingly, we examine the use of SCVaR to measure risk and set these requirements. Assuming elliptically distributed asset returns, we show that portfolios on the mean‐SCVaR frontier generally lie away from the mean‐variance (M‐V) frontier. In a plausible numerical example, we find that such portfolios tend to have considerably higher ratios of risk (measured by, e.g., standard deviation) to minimum capital requirement than those of portfolios on the M‐V frontier. Also, we find that requirements based on SCVaR are smaller than those based on both VaR and SVaR but exceed those based on just VaR. Finally, we find that requirements based on SCVaR are less procyclical than those based on either VaR or both VaR and SVaR. Overall, our paper suggests that the use of SCVaR to measure risk and set requirements is not a panacea.     

A dynamic model of active portfolio management with benchmark orientation

This paper studies optimal dynamic portfolios for investors concerned with the performance of their portfolios relative to a benchmark. Assuming that asset returns follow a multi-linear factor model similar to the structure of Ross (1976) [Ross, S., 1976. The arbitrage theory of the capital asset pricing model. Journal of Economic Theory, 13, 342–360] and that portfolio managers adopt a mean tracking error analysis similar to that of Roll (1992) [Roll, R., 1992. A mean/variance analysis of tracking error. Journal of Portfolio Management, 18, 13–22], we develop a dynamic model of active portfolio management maximizing risk adjusted excess return over a selected benchmark. Unlike the case of constant proportional portfolios for standard utility maximization, our optimal portfolio policy is state dependent, being a function of time to investment horizon, the return on the benchmark portfolio, and the return on the investment portfolio. We define a dynamic performance measure which relates portfolio’s return to its risk sensitivity. Abnormal returns at each point in time are quantified as the difference between the realized and the model-fitted returns. Risk sensitivity is estimated through a dynamic matching that minimizes the total fitted error of portfolio returns. For illustration, we analyze eight representative mutual funds in the U.S. market and show how this model can be used in practice.     

Information trading by corporate insiders based on accounting accruals: forecasting economic performance

In this paper, we test whether directors’ (corporate insiders) trading in Australia, based on accounting accruals, provides incremental information in forecasting a firm's economic performance. We determine that directors’ trading on negative accruals in larger firms has greater forecasting content and is associated with 1‐year‐ahead bull market phases. Moreover, arbitrage portfolios set up to mimic insider trading can earn 1‐year‐ahead excess size‐adjusted arbitrage returns of up to 12.2 per cent. Results are consistent with directors hiding their trades in liquid well‐traded firms and in providing incremental information above that supplied by a continuous information regime.     

Brand portfolio options for the UK retail banks

Following deregulation in the late 1980s, many financial service companies rapidly grew their product portfolios. Developing these extensive portfolios has raised complex issues for financial service companies regarding how the new products and services should be marketed and, in particular, how they should be branded. This paper seeks to identify the relevant issues concerning the marketing and branding of large portfolios of financial service products. Using the brand portfolio model developed by Aaker and Joachimsthaler,¹ the paper analyses the brand portfolio strategies adopted by the UK's leading retail banks (Barclays, Lloyds TSB, NatWest/RBS and HSBC). The paper concludes that given the complexity of branding as a concept and in predicting how consumers will respond, ultimately all financial services need to experiment more both with how individual brands are positioned and advertised and what portfolios are optimal.     

Experimental research in financial accounting

This paper uses recent experimental studies of financial accounting to illustrate our view of how such experiments can be conducted successfully. Rather than provide an exhaustive review of the literature, we focus on how particular examples illustrate successful use of experiments to determine how, when and (ultimately) why important features of financial accounting settings influence behavior. We first describe how changes in views of market efficiency, reliance on the experimentalist’s comparative advantage, new theories, and a focus on key institutional features have allowed researchers to overcome the criticisms of earlier financial accounting experiments. We then describe how specific streams of experimental financial accounting research have addressed questions about financial communication between managers, auditors, information intermediaries, and investors, and indicate how future research can extend those streams. We focus particularly on (1) how managers and auditors report information; (2) how users of financial information interpret those reports; (3) how individual decisions affect market behavior; and (4) how strategic interactions between information reporters and users can affect market outcomes. Our examples include and integrate experiments that fall into both the “behavioral” and “experimental economics” literatures in accounting. Finally, we discuss how experiments can be designed to be both effective and efficient.     

Information immobility,industry concentration,and institutional investors’ performance

This paper examines foreign institutional investors’ portfolio allocation and performance in US securities. We test how information immobility, proxied by information barriers between the investors’ home markets and the US, influences portfolio strategies. Consistent with theoretical predictions, foreign institutional investors’ total investment in the US is negatively related to information immobility. Similarly, information immobility is a significant driver of portfolio under-diversification across industries. Industry concentration has declined over time, consistent with declining search costs. Industry-concentrated portfolios outperform more diversified portfolios for both foreign and US institutional investors. Concentration especially helps institutional investors with the easiest access to information.     

Applying Wand and Weber's Surface and Deep Structure Approaches to Financial Reporting Systems

Wand and Weber's fundamental premise is that ‘a physical‐symbol system has the necessary and sufficient properties to represent real‐world meaning’. Their representation of real‐world meaning flows from three possible information system models: representational, state‐tracking and de‐compositional. We address these three types of information system in the context of financial reporting systems and we use purchased goodwill and other intangible assets to selectively critique their characteristics. The principle feature of this critique is the comparison that is made throughout the paper between an economic and an artefactual (physical‐symbol) representation of assets, particularly the intangible ones, in the financial reporting domain.     

Challenging the NPM Ideas About Performance Management: Selectivity and Differentiation in Outcome‐Oriented Performance Budgeting

This paper shows how the performance budget of a local government organization, in this case a province in the Netherlands, can be attuned to the specific task characteristics of the programmes in these budgets. Three ways of alignment are suggested: differentiating between standardized and complex programmes; focussing on the politically most relevant programmes in order to avoid information overload; and distinguishing between the types of performance information in terms of the role of the province in the programme (facilitator versus executor) and the stage in the policy making cycle (policy development, policy elaboration or policy execution). These suggestions challenge the generally straightforward NPM rationale of performance budgeting, in which standardized outputs are directly related to resources. Our empirical research shows on the one hand that the redesigned programme budget based on the above principles received substantial approval of its users, i.e., the provincial councillors. On the other hand, as regards the use of this programme budget the picture is rather diffuse, i.e., the majority of the councillors indicate that they use the information rather intensively, but its formal use in official Council and Council committee meetings remains limited.