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The purpose of this paper is to report on the success of an initiative involving the transformation of a group of small substance use treatment only or mental health treatment only provider agencies serving uninsured adults into providers of co-occurring disorder treatment.

The paper uses a case study narrative to describe the initiative and the transformation of the participant agencies from being providers of mental health or substance use treatment to providers of co-occurring disorders.

Six agencies serving uninsured adults expanded their scope of patient treatment services to include the capacity to treat adults with co-occurring disorders. This was achieved with modest support funding from a local foundation. The initiative has been ongoing for five years.

The outcome of this initiative demonstrates the financial and practical feasibility of improving and expanding treatment services to low-resourced patient populations. The participating agencies were able to improve their capacity to treat patients with substance use or mental health issues that previously they were not prepared to treat and thus increased their ability to provide integrated care.

The initiative described here shows that the treatment of concomitant substance use and mental health disorders is within the range of many small-scale treatment providers, if provided the leadership and support. Delivery of effective treatments to populations experiencing co-occurring disorders that are underserved and undertreated are achievable in community-based clinical practices. This has implications for developing treatment capacity outside of hospital settings to enable treatment of co-occurring disorders to become more accessible.

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 purpose of this paper is to investigate the association between unemployment insurance (UI) benefits and firms’ future performance as well as the association between UI benefits and volatility of firms’ future performance.

Quantitative analyses are used to perform empirical testing, and the variables in this study have been selected from previous literature. Empirical data consists of UI benefits data published from 2003 to 2012 on the US Department of Labor website, accounting data from Compustat, and stock return data from CRSP.

Unemployment benefits are positively associated with firms’ future earnings and cash flows. Also, unemployment benefits are negatively associated with volatility of firms’ future earnings and cash flows. Finally, the positive association between unemployment benefits and firms’ future performance is more pronounced for firms with larger changes in labor force, and the negative association between unemployment benefits and volatility of firms’ future performance is more pronounced for firms with higher labor force volatility and capital structure volatility.

To the extent that other correlated omitted variables exist, the readers are asked to interpret the findings in this paper with caution.

This study contributes to prior literature on labor economics, finance, and accounting. The findings may be of interest to academic researchers and policy makers.

In most portfolio performance studies, a reference portfolio is used to assess the performance of a portfolio manager. The choice of an appropriate reference portfolio is essential to yield a fair and unbiased evaluation of the manager. In the following analyses, category‐based benchmarks are assessed against established benchmarks to evaluate, which alternative accurately evaluates a portfolio manager's performance. The results indicate that the category‐based benchmarks are more appropriate comparison reference for evaluating the systematic risk of equity portfolios and equity security returns.

This chapter reviews the existing empirical evidence on how social insurance affects health. Social insurance encompasses programs primarily designed to insure against health risks, such as health insurance, sick leave insurance, accident insurance, long-term care insurance, and disability insurance as well as other programs, such as unemployment insurance, pension insurance, and country-specific social insurance programs. These insurance systems exist in almost all developed countries around the world. This chapter discusses the state-of-the art evidence on each of these social insurance systems, briefly reviews the empirical methods for identifying causal effects, and examines possible limitations to these methods. The findings reveal robust and rich evidence on first-stage behavioral responses (“moral hazard”) to changes in insurance coverage. Surprisingly, evidence on how changes in coverage impact beneficiaries’ health is scant and inconclusive. This lack of identified causal health effects is directly related to limitations on how human health is typically measured, limitations on the empirical approaches, and a paucity of administrative panel data spanning long-time horizons. Future research must be conducted to fill these gaps. Of particular importance is evidence on how these social insurance systems interact and affect human health over the life cycle.

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.

Data from the 1984 Survey of Income and Program Participation are linked to longitudinal records from the Social Security Administration to examine the relationship between the long-term unemployment that prime-aged (ages 25–55) male workers experienced around the time of the 1980–1982 twin recessions with earnings, receipt of either Disability Insurance or Supplemental Security Income (DI-SSI) benefits, and mortality. Separate estimations are made for those who voluntarily and involuntarily left employment and the combined sample of these two groups. We find that 20 years later, long-term joblessness was associated with significantly lower earnings and higher likelihoods of the receipt of DI-SSI benefits as well as mortality.

The objective of this paper is to demonstrate how to use the Elton, Gruber, and Padberg [1978] model to construct optimal portfolios and to facilitate the use of this paradigm by providing an example of how the technique is used. The EGP model uses the risk‐adjusted, excess return for an asset to determine the optimal portfolio for a given risk‐free rate of return. This paper shows exactly how to calculate the optimal portfolio and provides a True Basic@ program to do so. The data used are constructed from Capital International Indexes taken from various issues of Barrons from March 1978 to December 1986.

Section 529 college savings plans are tax-favored investment vehicles, which saw tremendous growth after the Economic Growth and Tax Relief Reconciliation Act of 2001 expanded 529 plan benefits to include tax-free distributions for qualified higher education expenses. However, regulators, the press, and fund advisors criticized the Section 529 college savings plan industry for inadequate and nonuniform disclosures of investor information, such as historical returns, fees, taxes, and underlying investments. We investigate consumers’ investment choices after a disclosure regime change in 2003 and find that after enhanced disclosures became widely available, investors selected fewer plans offered exclusively through brokers, increasingly chose portfolios based on past investment performance, but remained unresponsive to state tax benefit disclosures. We also analyze the plans’ performance and find evidence that 529 investors are constrained to invest in portfolios with high, return-eroding fees. Nearly 20 percent of the portfolios have a statistically significant negative alpha, the measure of risk-adjusted excess return, while less than 1 percent have a statistically significant positive alpha.