Search results

In the European Union, the Undertakings for Collective Investment in Transferable Securities Directive (UCITS IV) requires fund management companies to provide a Key Investor Information Document (UCITS KIID) for investors. This papers uses archival data from the Finnish mutual fund market to test how the regulation's information disclosure requirements concerning past performance, risk and fund fees are associated with mutual fund flows.

The study uses archival data on the mutual funds market in Finland to test how the regulation relating to retail investors' information requirements is associated with mutual fund flows.

Our findings suggest that the UCITS KIID predicts retail investors' fund flows. While past performance is associated with fund flows throughout the observation period, retail investors appear to have become more sensitive to fund fees and invest in less risky funds following the adoption of the UCITS IV period.

Information relating to fund fees and risk appears to be relevant to retail investors, which should be acknowledged in future iterations of short-form disclosure and in mutual fund marketing.

This paper is the first to assess the significance of KIID in actual market environment.

This paper analyses whether the active management and the fundamentals of the pension fund allow products that beat their peers to be identified in terms of risk-adjusted performance.

The sample is composed of all the pension funds active in the period 2000 to 2017 investing in the Eurozone. What this means is that a greater similarity is guaranteed in terms of benchmark, assets available for investment and currency. All the data have been retrieved from the Morningstar Direct database.

The paper reveals that the degree of concentration and value for money are important determinants of performance. In this sense, the strategies of investing in concentrated portfolios that differ from the benchmark and with undervalued assets in terms of price earnings ratio (PER)-return on assets (ROA) achieve better results.

This is one of the few papers that shows the effect of active management and value investing strategies’ on the performance of pension funds.

本文旨在分析、我們能否根據退休基金的積極管理及其基本原理, 找到就風險調整表現而言之最優勝產品.

我們的樣本包括於2000年至2017年期間活躍於歐元區內投資活動的所有退休基金。這意味著、樣本確保了相關之退休基金就基準、可供投資的資產及貨幣而言、均擁有較大的相似性。所有數據均從晨星基金資料庫檢索得來的。.

本文顯示、集中程度和價值比率是決定表現的重要因素。在這個意義上說，如投資在與基準不同的及附有就本益比 – 資產收益率 (PER - ROA) 而言被低估的資產的那些集中投資組合上, 這會是效果較佳的策略.

探討積極管理和價值投資策略如何影響退休基金表現的學術研究為數不多, 本文乃屬這類研究。.

This paper focuses on Ṣukūk issuance determinants in Gulf Cooperation Council (GCC) countries. Given the dual characteristic of debt and equity of Ṣukūk as well as their unique benefits of social responsibility, the author questions whether the theories of capital structure, the trade-off and the pecking order are able to well explain the Ṣukūk issuance.

First, the author verifies these theories using capital structure determinants and regresses the Ṣukūk change on these determinants. Second, the author tests the trade-off theory with the target debt model and third, verifies the pecking order theory using the fund flow deficit model.

The empirical results show that capital structure determinants fail to explain both theories. The author confirms that the Ṣukūk change is significatively linked to the deviation from a Ṣukūk target. So, issuing firms balance the marginal costs of Ṣukūk and their benefits of religiosity and social responsibility toward a target debt. The author finds no evidence of the pecking order theory.

This study contributes to corporate finance theory and corporate social responsibility. It verifies if capital structure theories proved in conventional financing can well explain Islamic bonds issuance given their social responsibility benefits.

Managers and investors would pay attention to the social factors explaining Ṣukūk issuance in their finance and investment decisions. They would be enhanced to use this financing tool knowing its social unique benefits. This also should encourage governments to enhance this socially responsible financing. Rating agencies would be motivated to evaluate Ṣukūk and firms would improve the quality and relevance of disclosure to get the best rating.

The author highlights the social factors explaining Ṣukūk issuance and enhances corporate social responsibility (CSR).

The author extends the few literature testing capital structure theories for Islamic bonds and highlights the specific social responsible features of Ṣukūk that would bridge their issuance to capital structure theories. So the author enhances the concept of Islamic CSR. Tying capital structure theories to CSR would also help developing Islamic finance theory as a unique social responsible framework.

We examine whether the suitability principles hold for the mutual fund industry in Korea, by analyzing the dynamics and the characteristics of the multi-class fund flows. For 12-years from 2002 to 2013, the volatility of fund flows associated with A-class fund, which is more appropriate for long-term investments, is larger than that associated with C-class fund. Therefore, it can be interpreted that the suitability principles do not hold. To examine the empirical observation, we mainly focus on the role of the dollar cost averaging (DCA) style funds. We show that if we adjust for the effect of DCA funds, the suitability principles does not hold only before the 2008 financial crisis. Thus, we argue that individuals' irrational decision making is caused by heavy investments on A-class fund through DCA style types before the financial crisis. This leads to the observed violation of the suitability principles before the crisis. Our findings also suggest that after the financial crisis, the mutual fund industry in Korea becomes mature.

Establishing the strength of a novel variable–mortgage debt as a fraction of US gross domestic product (GDP)–on forecasting capitalisation rates in both the US office and multifamily sectors.

The authors specify a vector error correction model (VECM) to the data. VECM are used to address the nonstationarity issues of financial variables while maintaining the information embedded in the levels of the data, as opposed to their differences. The cap rate series used are from Green Street Advisors and represent transaction cap rates which avoids the problem of artificial smoothness found in appraisal-based cap rates.

Using a VECM specified with the novel variable, unemployment and past cap rates contains enough information to produce more robust forecasts than the traditional variables (return expectations and risk premiums). The method is robust both in and out of sample.

This has direct implications for governmental policy, offering a path to real estate price stability and growth through mortgage access–functions largely influenced by the Fed and the quasi-federal agencies Fannie Mae and Freddie Mac. It also offers a timely alternative to interest rate-based forecasting models, which are likely to be less useful as interest rates are to be held low for the foreseeable future.

This study offers a new and highly explanatory variable to the literature while being among the only to model either (1) transactional cap rates (versus appraisal) (2) out-of-sample data (versus in-sample) (3) without the use of the traditional variables thought to be integral to cap rate modelling (return expectations and risk premiums).

This study aims to explain how cryptocurrency is leveraged for illicit purposes across the global financial system. Specifically, it establishes how cryptocurrency has been changing the nature of transnational and domestic money laundering (ML). It then assesses the effectiveness of conventional anti-money laundering (AML) policy and legislation against the proliferation of crypto laundering, using Canada as a critical case study.

Data was collected from court cases and secondary sources to build cross-case trends of cryptocurrency use in ML. Illicit International Political Economy forms the theoretical foundation for this study, whose contribution is situated in the current literature on crypto-ML.

This study finds that Bitcoin is common among crypto-money launderers, though most also use some form of alt-coin, and that the use of third-party currency exchanges is a prevalent method to create illicit funds and conceal proceeds of crime. The findings validate two hypotheses that illicit use of crypto is prevalent in the first two stages of ML, and that crypto is most often used in conjunction with other fiat currencies. Although law enforcement is improving on monitoring and understanding popular cryptocurrencies such as Bitcoin, alt-coins pose a significant challenge for criminal intelligence. New regulations for third-party currency exchanges are having a positive impact on curtailing crypto-laundering but are shown to be insufficient per se to contain the use of crypto in criminal activity.

This study contributes to a more robust understanding of the use of virtual currency in transnational and domestic ML. It contributes to an emerging body of literature on the role of technological change in enabling the global flow of illicit funds. It also informs public policy on virtual currency in general, and on AML regulation in Canada in particular.

The authors analyze the equilibrium effects of non-tradable assets on optimal policy portfolios. They study how the existence of non-tradable assets impacts optimal asset allocation decisions of investors who own such assets and of investors who do not have access to non-tradable assets.

In this theoretical analysis, the authors analyze a model with tradable and non-tradable asset classes whose cash flows are jointly normally distributed. There are two types of investors, with and without access to non-tradable assets. All investors have constant absolute risk aversion preferences. The authors derive closed form solutions for optimal investor demand and equilibrium asset prices. They calibrated the model using US data for listed equity, bonds and private equity. Further, the authors illustrate the sensitivities of quantities and prices with respect to the main parameters.

The study finds that the existence of non-tradable assets has a large impact on optimal asset allocation. Investors with (without) access to non-tradable assets tilt their portfolios of tradable assets away from (toward) assets to which non-tradable assets exhibit positive betas.

The model provides important insights not only for investors holding non-tradable assets such as private equity but also for investors who do not have access to non-tradable assets. Investors who ignore the effect of non-tradable assets when reverse-engineering risk premia from asset covariances and market capitalizations might severely underestimate the equity risk premium.

The authors provide the first comprehensive analysis of the equilibrium effects of non-tradability of some assets on optimal policy portfolios. Thus, this paper goes beyond analyzing the effects of market imperfections on individual portfolio choices.

Many governments wishing to provide telecommunication services to those who are unconnected have chosen the Universal Service Fund (USF) as the principal policy instrument. However, there is evidence that monies directly or indirectly collected from users of telecommunication services are lying unspent in these funds. The purpose of this paper is to propose metrics for measuring the disbursement efficacy of funds across time and across countries as an essential element of improving the performance of the universal service funds.

This paper proposes two metrics, the total disbursement rate (TDR) and the year-on-year disbursement rate (YDR), which can be used to assess the disbursement efficacy of universal service programs. It illustrates the value of the metrics by applying them to the USFs of India, Malaysia and Pakistan.

A move to push out funds has been observed in India in recent years. Pakistan had not reached the same momentum up to mid-2014. An improvement in Malaysia’s disbursement efficacy was observed until 2013, with nearly all of the funds collected in the previous year being disbursed. A significant proportion of the funds collected are lying unspent in the three USFs, nevertheless.

The proposed metrics are robust, objective and parsimonious indicators that allow comparison over time and across countries. They will enable productive, evidence-based conversations that will hold fund administrators accountable and will inform the design and implementation of more effective policy mechanisms.