Search results

The recent development of the European debt sovereign crisis showed that sovereign debt is not “risk free.” The traditional index bond management used during the last two decades such as the market-capitalization weighting scheme has been severely called into question. In order to overcome these drawbacks, alternative weighting schemes have recently prompted attention, both from academic researchers and from market practitioners. One of the key developments was the introduction of passive funds using economic fundamental indicators.

In this chapter, the authors introduced models with economic drivers with an aim of investigating whether the fundamental approaches outperformed the other models on risk-adjusted returns and on other terms.

The authors did this by constructing five portfolios composed of the Eurozone sovereigns bonds. The models are the Market-Capitalization RP, GDP model RP, Ratings RP model, Fundamental-Ranking RP, and Fundamental-Weighted RP models. These models were created exclusively for this chapter. Both Fundamental models are using a range of 10 country fundamentals. A variation from other studies is that this dissertation applied the risk parity concept which is an allocation technique that aims to equalize risk across different assets. This concept has been applied by assuming the credit default swap as proxy for sovereign credit risk. The models were run using the Generalized Reduced Gradient (GRG) method as the optimization model, together with the Lagrange Multipliers as techniques and the Karush–Kuhn–Tucker conditions. This led to the comparison of all the models mentioned above in terms of performance, risk-adjusted returns, concentration, and weighted average ratings.

By analyzing the whole period between 2006 and 2014, it was found that both the fundamental models gave very appealing results in terms of risk-adjusted returns. The best results were returned by the Fundamental-Ranking RP model followed by the Fundamental-Weighting RP model. However, better results for the mixed performance and risk-adjusted returns were achieved on a yearly basis and when sub-dividing the whole period in three equal periods. Moreover, the authors concluded that over the long term, the fundamental bond indexing triumphed over the other approaches by offering superior return and risk characteristics. Thus, one can use the fundamental indexation as an alternative to other traditional models.

This chapter examines the performance persistence evidences of pension fund managers who managed the constituent equity funds included in Hong Kong Mandatory Provident Fund (MPF) schemes over the period 2001–2004. Nonparametric two-way contingency table and parametric OLS regression analysis are employed to evaluate performance persistence. The evidence suggests that the raw returns, traditional Jensen alphas, and conditional Jensen alphas in the previous year possess predictive abilities. When the funds are classified into high-volatile and low-volatile samples, the high-volatile funds are found to possess stronger performance persistence. Neither hot-hand nor cold-hand phenomena are found in the equity funds managed by same investment manager.

U.S. bank holding companies (BHCs) have experienced dynamic changes over a period of 2000–2010. We find that the size distribution of sample banks becomes highly positively skewed with a small number of big banks becoming super-sized, and these big banks tend to take extra risk by holding derivative positions for trading purposes. The ten largest risk-taking banks hold about 70% of total assets of all the sample banks in 2010. We investigate whether the risk-taking activities of the BHCs translate into higher risk-adjusted return performance. In extensive panel regression analyses, we find that the risk-taking strategies of large banks by holding derivative positions for trading purpose do not show the clear evidence of enhancing risk-adjusted performance. We find that negative impacts of extra risk-taking on the risk-adjusted performance become bigger with the size of banks.

Does the adoption of the Enterprise Risk Management (ERM) improve bank profitability? Does ERM also reduce bank risk? By analyzing a sample of banks located in European emerging markets between 2005 and 2013, the aim of this chapter is to empirically investigate the determinants of firm performance, both in terms of bank profitability and risk, with respect to the adoption of Enterprise Risk Management (ERM). In order to capture the effect of the ERM program adoption on banks’ performance, we both use market-based measures as well as accounting-based indexes. Following the seminal literature on the topic (Aebi, Sabato, & Schmid, 2012; Eckles et al., 2014; Ellul & Yerramilly, 2013; Hoyt & Liebenberg, 2003, 2011; Lin, Wen, & Yu, 2012; Pagach & Warr, 2010), we adopt a binary proxy variable, that is, the appointment of a Chief Risk Officer (CRO), to define whether the firm is currently undertaking an ERM program. Our results show that a post-ERM firm experiences an increase in the risk-adjusted profits and a reduction of the overall risk.

In the build-up of an investment decision, the existence of both active and passive investment vehicles triggers a puzzle for investors. Indeed the confrontation between active and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a bone of contention since the inception of these investment structures. Accordingly, the objective of this chapter is to distinctly underscore whether an investor should be concerned in choosing between active and diverse passive investment structures.

The survivorship bias-free dataset consists of 776 equity funds which are domiciled either in America or Europe, and are likewise exposed to the equity markets of the same regions. In addition to geographical segmentation, equity funds are also categorised by structure and management type, specifically actively managed mutual funds, index mutual funds and passive exchange traded funds (‘ETFs’). This classification leads to the analysis of monthly net asset values (‘NAV’) of 12 distinct equally weighted portfolios, with a time horizon ranging from January 2004 to December 2014. Accordingly, the risk-adjusted performance of the equally weighted equity funds’ portfolios is examined by the application of mainstream single-factor and multi-factor asset pricing models namely Capital Asset Pricing Model (Fama, 1968; Fama & Macbeth, 1973; Lintner, 1965; Mossin, 1966; Sharpe, 1964; Treynor, 1961), Fama French Three-Factor (1993) and Carhart Four-Factor (1997).

Solely examination of monthly NAVs for a 10-year horizon suggests that active management is equivalent to index replication in terms of risk-adjusted returns. This prompts investors to be neutral gross of fees, yet when considering all transaction costs it is a distinct story. The relatively heftier fees charged by active management, predominantly initial fees, appear to revoke any outperformance in excess of the market portfolio, ensuing in a Fool’s Errand Hypothesis. Moreover, both active and index mutual funds’ performance may indeed be lower if financial advisors or distributors of equity funds charge additional fees over and above the fund houses’ expense ratios, putting the latter investment vehicles at a significant handicap vis-à-vis passive low-cost ETFs. This chapter urges investors to concentrate on expense ratios and other transaction costs rather than solely past returns, by accessing the cheapest available vehicle for each investment objective. Put simply, the general investor should retreat from portfolio management and instead access the market portfolio using low-cost index replication structures via an execution-only approach.

The battle among actively managed and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a grey area since the inception of mutual funds. The interest in the subject constantly lightens up as fresh instruments infiltrate financial markets. Indeed the mutual fund puzzle (Gruber, 1996) together with the enhanced growth of ETFs has again rejuvenated the active versus passive debate, making it worth a detailed analysis especially for the benefit of investors who confront a dilemma in choosing between the two management styles.

The uncertainty as to whether investments in riskier and less efficient markets allow managers to ‘beat the market’ remains a question to which answers are required. Accordingly, the purpose of this chapter is to offer new insights on portfolios of the US, European and Emerging Market (‘EM’) domiciled equity mutual funds whose objectives are the investment in emerging economies, and specifically analyses two main issues: alpha generation and the influence of the funds’ characteristics on their risk-adjusted performance.

The dataset is made up a survivorship-bias controlled sample of 137 equity funds over the period January 2004 to December 2014, which are then grouped into equally weighted portfolios according to the scheme’s origin. The Jensen’s (1968) Single-Factor model along with the Fama and French’s (1993) and Carhart’s (1997) multifactor models are employed to authenticate results and answer both research questions.

Research analysis reveals that EM exposed fund managers fail to collectively outperform the market. It thereby offers ground to believe that the emerging world is very close to being efficient, proving that the Efficient Market Hypothesis (‘EMH’) ideal exists in this scenario where market inefficiency might only be a perception of market participants as any apparent opportunity to achieve above-average returns is speedily snapped up by very active managers. Overall these managers take a conservative approach to portfolio construction, whereby they are more unperturbed investing in large cap equity funds so as to lessen somewhat the exposure towards risks associated with liquidity, stability and volatility.

Furthermore, the findings show that large-sized equity portfolios have the lead over the medium and small-sized competitors, whilst the high cost and mature collective investment vehicles enjoy an alpha which although is negative is superior to their peers. The riskiest funds generated the lowest alpha, and thereby produced doubts as to whether investors should accept a higher risk for the hope of earning higher returns, at least when aiming to gain an exposure into the emerging world.

Mutual fund performance is not an innovative topic so to speak. Nonetheless, researchers and academia have centred their efforts on appraising the behaviour of fund managers domiciled primarily in developed and more efficient economics, leaving the emerging region highly uncovered in this respect. This study, therefore aims at crafting meaningful contributions to the literature as well as to the practical perspective.

This chapter compares the returns performance of the Islamic mutual funds (IMFs) with that of conventional mutual fund (CMF). It covers both pre- and post-ASEAN financial crisis and global financial crisis data for an overall sample of 128 IMFs and 350 CMFs. It also covers two market cycles from January 1995 to December 1998 and from January 2005 to December 2008.

The net raw returns of all expenses and market risk-adjusted return performance measurements are employed to examine the portfolios’ performance, and to capture the difference movement of the funds based on the particular market trend.

We observed that on average both portfolios outperform the market return. In general, average returns performance of IMFs is not better than the CMFs during bullish and bearish market trend periods. However, the empirical results based on time-series regression model reveal that the IMFs portfolio slightly outperform the conventional counterparts.

The study would benefit the investors and market players to consider IMFs in their portfolio selection, if in future such an expected event may occur.

The study provides insights to regulators and market players who plan to access investment plan in an emerging market, particularly in Malaysia.

Pension funds are demanding increasingly more information about the levels of corporate social responsibility achieved by companies through the use of corporate social responsibility reports to select which firms’ stocks to invest in. This could improve or reduce the financial performance achieved by pension plans. Therefore, this chapter examines the financial performance obtained by equity pension plans, distinguishing between solidarity pension plans, ethical pension plans and conventional pension plans.

We use a sample of 153 individual system pension plans (129 conventional pension plans, 6 solidarity pension plans and 18 ethical pension plans). Using these sample data, we implement the robust random effects panel data methodology.

The results show that ethical pension plans perform similarly to traditional pension plans, while solidarity pension plans significantly outperform conventional pension plans.

We do not know what weights managers give to environmental, social and corporate governance criteria, which may influence the financial performance of pension plans.

The results of this study could be relevant for pension plan managers that may be considering the integration of ethical screening in their management strategies in order to offer differentiated products and for investors who would like to invest in ethical pension plans without compromising their financial performance.

Previous studies have analysed the financial performance obtained by traditional and ethical funds, but in this chapter we compare the financial performance of traditional, solidarity and ethical pension plans.

The 2008–2009 financial crisis has renewed concerns about managerial short-termism and its negative effects. Based on intertemporal choice theory, this chapter aims to identify the role that performance measurement and compensation systems can play in orienting managers toward building long-term performance potential in addition to achieving short-term results.

The findings suggest that certain types of measures used – in particular broader, more inclusive financial indicators, risk-adjusted measures, and key nonfinancial value drivers – as well as the timing of measurement and payment of rewards can lead to reduced time discounting and a lower devaluation of the future, and consequently to a prioritized managerial attention focus on long-term company goals.

This chapter contributes to a better understanding of the institutional determinants of managerial long-term orientation and the influence of organizational systems on goal prioritization in managerial intertemporal choice processes.

The findings have practical relevance for the design of incentive systems that aim to place an emphasis on ensuring long-term value creation.

Systems that guide managerial behavior toward the long term can help to increase economic and societal sustainability.

Despite the emergence of more integrated performance measurement approaches, time horizon has not been in the main focus of research in the field yet. This review provides a first structured overview of the temporal effects of different elements of performance measurement and compensation systems.