Performance profiling of the unit trust funds in Malaysia with data mining techniques

Background: Millennials are exposed to many investment opportunities, and they have shown their interest in gaining more income via investments. One popular investment avenue is unit trusts. However, analysing unit trusts’ financial data and gaining valuable insights may not be as simple because not everyone has the required financial knowledge and adequate time to perform in-depth analytics on the numerous financial data. Furthermore, it is not easy to compile the performance of each unit trust available in Malaysia. The primary objective of this research is to identify unit trust funds that provide higher returns than their average peers via performance profiling. Methods: This research proposed a performance profiling on Malaysia unit trust funds using the two data mining techniques, i.e., Expectation Maximisation (EM) and Apriori, to assist amateur retail investors to choose the right unit trust based on their risk tolerance. EM clustered the unit trust funds in Malaysia into several groups based on their annual financial performances. This was then followed by finding the rules associated with each cluster by applying Apriori. The resulted rules shall serve the purpose of profiling the clustered unit trust funds. Retail investors can then select their preferred unit trust funds based on the performance profile of the clusters. Results: The yearly average total return of the financial year 2018 and 2019 was used to evaluate unit trust funds’ performance in the clusters. The evaluation results indicated that the profiling could provide valuable and insightful information to retail investors with varying risk appetites. Conclusions: This research has demonstrated that the financial performance profiling of unit trust funds could be acquired via data mining approaches. This valuable information is crucial to unit trust investors for selecting suitable funds in investment.

Policy Diffusion in a Redistributive Policy: Affordable Housing and State Housing Trust Funds

Diffusion models explore the reasons policies transfer across governments. In this study, we focus on U.S. state level efforts in affordable housing. Drawing predominately from policy diffusion literature, our research examines the determinants of the creation of state Housing Trust Funds (HTFs). We utilize event history analysis with logit regressions and survival modeling to examine how problem severity, neighbor adoption, economic standing, elected leadership, housing investment, and demographics predict state HTF adoption. Results indicate that both problem severity and elected leadership predict the adoption of HTFs. This work improves our understanding of state policy diffusion and efforts in housing affordability.

Performance of Unit Trust Funds between Conventional and Islamic Funds in Malaysia using Data Envelopment Analysis

This study aims to analyse the current performance of unit trust funds between conventional and Islamic funds using data envelopment analysis because most Malaysians are incapable to distinguish between conventional and Islamic unit trust funds performances since they tend to assume both funds perform similarly. This paper uses 20 authorised funds by the Securities Commission Malaysia (SC) for three years by using trailing data that consists of volatility element as input and total return as output. Indeed, the funds selected do not mix asset classes of funds, instead relying solely on equity funds to create a fair and reasonable ranking. The study employs Data Envelopment Analysis by testing two different models, namely Charnes, Cooper, and Rhodes input oriented (CCR-I) model and Banker, Charnes, and Cooper input oriented (BCC-I) model. The use of two models in this study is to ensure that the results of the ranking analysis are more accurate and precise. Both models employ the input-oriented model function as a means of maximising efficiency in order to increase the number of fairies. The efficiency of Islamic funds is more consistent than that of conventional funds for both models, as several Islamic funds maintain their position at the top of the efficient rank. However, there is a significant increase in conventional funds because 80% of the selected conventional funds that are not efficient in the CCR-I model achieve the efficiency level in the BCC-I model. As a result, there are four unit trust funds that are consistent in occupying efficiency level when tested for both CCR-I model and BCC-I model whereby three out of four are Islamic funds while the other is conventional fund. The Islamic funds consist of Apex Dana Aslah, BIMB i Growth Fund, and Maybank Malaysia Growth-I Fund while KAF Tactical Fund is conventional fund. Ultimately, it is concluded that Islamic funds perform better than conventional funds in Malaysia for the 3 years period ending 31 March 2021.

Oklahoma

The case of White Star Petroleum, LLC v. MUFG Union Bank, N.A. presented two questions of state law certified to the Oklahoma Supreme Court by the United States Bankruptcy Court for the Western District of Oklahoma: (1) Are the “trust funds” create[d] by Title 42 O.S. § 144.2, entitled “Creation and Appropriation of Trust Funds for Payment of Lienable Claims,” limited to obligations due nonoperator joint working interest owners, or do such funds include payments due [to] holders of mechanic’s and materialmen’s liens arising under and perfected by Title 42 O.S. § 144? (2) Does the Oil and Gas Owners’ Lien Act of 2010 grant an operator and non-operator working interest owner a lien in proceeds from purchasers of oil and gas which is prior and superior to any claim of the holder of a mechanic’s and materialmen’s lien asserted under Title 42 O.S. § 144? The above questions were certified to aid in the bankruptcy court’s resolution of two particular adversarial proceedings.

The USA Federal Debt-to-GDP Ratio and The Unified Budget Act’s Lack of Generally Accepted Accounting Principles

Here in the beginning of 2021, two of the truly relevant federal public finance issues are presented in this article. One is the Debt-to GDP Ratio. The second topic is the true nature of deficits, surpluses and future liabilities treated in budgets constructed via the Unified Budget Act. Two graphs on these issues are included. This article shows that the present Debt-to-GDP ratio is relatively high, as if the nation similar to when the United States was in a period of a major war. This graph is shown in this article’s Figure 1. There has been evidence in the macroeconomic literature that indicates a high Debt-to-GDP ratio can possibly result in some degree of slowed economic growth. Though the literature is varied on that point. The reason for the possible crowding out effect has to do with the competition for loanable funds. There is competition from both the public and private demanders of those loanable funds. Furthermore, there is the reality that all federal trust fund balances of the United States must be used to hold U.S. Treasury bonds. For figure 2, two categories on U.S trust funds are shown. One category is the combined total of Social Security. Medicare, Disability and related funds. This is shown in a red line. All the other federal trust funds are indicated in a blue line. There is a graph that shows these two lines. The graph is of the percentage share between the two categories. As a result, the red and blue lines are inverse functions of each other. Over the eighty-year period (1940-2020), there has been variation if both the red and blue lines. The goal of this articles is for leaders and government analysts to be more aware of the issues of the USA Federal Debt to GDP Ratio and the Unified Budget Act’s lack of Generally Accepted Accounting Principles.