Progress of the study of investment trusts and investment companies made by the Securities and exchange commission, pursuant to section 30 of the Public utility holding company act of 1935.

Mode of access: Internet.

Investment trusts and investment companies : report of the Securities and Exchange Commission : pursuant to section 30 of the Public Utility Holding Company Act of 1935

Issued also in the congressional series under title: Investment trusts and investment companies : letter from the chairman of the Securities and Exchange Commission transmitting, pursuant to law, a report .

A study of mutual funds : prepared for the Securities and Exchange Commission. Report of the Committee on Interstate and Foreign Commerce, pursuant to section 136 of the Legislative reorganization act of 1946, Public law 601, 79th Congress, and House Resolution 108, 87th Congress.

Mode of access: Internet.

The investment of pension funds in farmland [microform] : hearing before the Select Committee on Small Business, United States Senate, Ninety-sixth Congress, second session, on the investment of pension funds in farmland, October 8, 1980.

CIS Microfiche Accession Numbers: CIS 81 S721-6

End of fiscal year ... financial report general funds /

Description based on: 1997.

Non-traditional investment of pension funds : a brief overview of the antitrust question /

"December 1980."

The Impact of ERISA on the investment policies of private pension funds and capital market efficiency /

"Prepared for the U.S. Department of Labor under research grant J-P-P-6-0209."

National housing act : hearings before the Committee on Banking and Currency, United States Senate, Seventy-third Congress, second session, on S. 3603, a bill to improve nation-wide housing standards, provide employment and stimulate industry ; to improve conditions with respect to home mortgage investment, and to eliminate the necessity for costly second-mortgage financing, by creating a system of mutual mortgage insurance and by making provision for the organization of additional institutions to handle home financing ; to promote thrift and protect savings ; to amend the Federal home loan bank act ; to amend the Federal reserve act ; and for other purposes. May 16-24, 1934.

Duncan U. Fletcher, chairman.

Compilation of releases, commission opinions, and other material dealing with matters frequently arising under the Investment company act of 1940.

Mode of access: Internet.

Returns from investing in Australian equity superannuation funds, 1991-1999

In this analysis of investment manager performance, two questions are addressed. First, do managers that actively trade stocks create value for investors? Second, can the multifactor model of Gruber capture the cross-section of average fund returns for the Australian setting? The answers from this study are as follows: as an industry, investment managers destroyed value for superannuation investors for the period 1991 through 1999, under-performing passive portfolio returns by 2.80-4.00 per cent per annum on a risk-unadjusted basis and 0.50-0.93 per cent per annum on a risk-adjusted basis. Evidence is provided in support of the four-factor model of Gruber; however, the model fails to capture the impact of investment style for the Australian setting. The findings suggest that Australian superannuation investors would transform their retirement savings into retirement income more efficiently through the use of passive alternatives to the stock selection problem.

Causality detection on US mutual fund movements using evolutionary subset time-series

In this paper we develop an evolutionary kernel-based time update algorithm to recursively estimate subset discrete lag models (including fullorder models) with a forgetting factor and a constant term, using the exactwindowed case. The algorithm applies to causality detection when the true relationship occurs with a continuous or a random delay. We then demonstrate the use of the proposed evolutionary algorithm to study the monthly mutual fund data, which come from the 'CRSP Survivor-bias free US Mutual Fund Database'. The results show that the NAV is an influential player on the international stage of global bond and stock markets.

Do ethics imply persistence? The case of Islamic and socially responsible funds

We analyse the performance persistence of Islamic and Socially Responsible Investment (SRI) mutual funds. We adopt a multi-stage strategy in which, in the first stage, partial frontiers’ approaches are considered to measure the performance of the different funds in the sample. In the second stage, the results yielded by the partial frontiers are plugged into different investment strategies based on a recursive estimation methodology whose persistence performance is evaluated in the third stage of the analysis. Results indicate that, for both types of funds, performance persistence actually exists, but only for the worst and, most notably, best funds. This result is robust not only across methods (and different choices of tuning parameters within each method) but also across both SRI and Islamic funds—although in the case of the latter persistence was stronger for the best funds. The persistence of SRI and Islamic funds represents an important result for investors and the market, since it provides information on both which funds to invest in and which funds to avoid. Last but not least, the use of the aforementioned techniques in the context of mutual funds could also be of interest for the non-conclusive literature.

Neural network DEA for measuring the efficiency of mutual funds

Efficiency in the mutual fund (MF), is one of the issues that has attracted many investors in countries with advanced financial market for many years. Due to the need for frequent study of MF's efficiency in short-term periods, investors need a method that not only has high accuracy, but also high speed. Data envelopment analysis (DEA) is proven to be one of the most widely used methods in the measurement of the efficiency and productivity of decision making units (DMUs). DEA for a large dataset with many inputs/outputs would require huge computer resources in terms of memory and CPU time. This paper uses neural network back-ropagation DEA in measurement of mutual funds efficiency and shows the requirements, in the proposed method, for computer memory and CPU time are far less than that needed by conventional DEA methods and can therefore be a useful tool in measuring the efficiency of a large set of MFs. Copyright © 2014 Inderscience Enterprises Ltd.