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Classification of Open-End Investment Funds Using Artificial Neural Networks. The Case of Polish Equity Funds

100%
Perez K., Szczyt M.
Central European Economic Journal
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2021
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vol. 8
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issue 55
269-284
EN
In this study we utilise artificial neural networks to classify equity investment funds according to two fundamental risk measures-standard deviation and beta ratio-and to investigate the fund characteristics essential to this classification. Based on a sample of 4,645 monthly observations on 37 equity funds from the largest fund families registered in Poland from December 1995 to March 2018, we allocated funds to one of the classes generated using Multilayer Perceptron (MLP) and Radial Basis Function (RBF). The results of the study confirm the legitimacy of using machine learning as a tool for classifying equity investment funds, though standard deviation turned out to be a better classifier than the beta ratio. In addition to the level of investment risk, the fund classification can be supported by the fund distribution channel, the fund name, age, and size, as well as the current economic situation. We find historical returns (apart from the last-month return) and the net cash flows of the fund to be insignificant for the fund classification.
2
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COMPOSITION OF EQUITY AND MIXED PENSION FUNDS IN SLOVAKIA

100%
Papík M.
Oeconomia Copernicana
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2017
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vol. 8
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issue 1
51-64
EN
Research background: Since January 2013, pension fund management companies have had to establish at least two pension funds, one guaranteed bond fund, and at least one unguaranteed equity fund. This division has brought many changes in portfolios of pension funds in Slovakia. Currently, six pension funds management companies manage six bonds, six equity, five indexed and three mixed funds. Purpose of the article: The aim of this article is to monitor the composition of assets during 2009 and 2014 and describe relation between equity and mixed pension funds’ profit and components of assets they own. The results of this research contribute to a better understanding of the importance of certain types of financial assets owned by equity and mixed funds and their impact on pension funds’ profit. Last, but not least, this article helps to improve the legislative management of pension funds and their impact on macroeconomic situation in Slovakia, because pension funds are still concentrating higher and higher amount of financial assets from government bonds to companies’ stocks. Methods: This relation will be described by linear mixed-effects model with random effects of years and pension funds management companies. Random effects also help to identify the impact of changes during the period studied, and in case that profit is significantly different across the pension funds management companies. Findings & Value added: The underlying model data will be chosen from annual balance sheets, income statements and notes of Slovakia-based equity and mixed funds during the period studied.
3
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Application Of Multifactorial Market-Timing Models To Assess Risk And Effectiveness Of Equity-Linked Insurance Funds In Poland

100%
Homa M., Mościbrodzka M.
Statistics in Transition new series
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2015
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vol. 16
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issue 2
279-292
EN
Traditionally, models developed by Treynor and Mazuy (T-M) and also by Henriksson-Merton (H-M), which are called market-timing models, are applied to assess effectiveness of investment funds. The objective of the presented study is an application of the T-M and H-M models and their T-M-FF and H-M-FF modifications with additional Fama-French factors to assess effectiveness and risk of equity insurance connected with unit-linked insurance. Estimation and verification of the models for the subject group of equity funds were performed and the significance of the impact of particular factors on returns on reference portfolios was discussed.
4
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EFEKTYWNOŚĆ A RYZYKO FINANSOWE UBEZPIECZENIOWYCH FUNDUSZY KAPITAŁOWYCH

63%
Homa M.
Metody Ilościowe w Badaniach Ekonomicznych
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2015
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vol. 16
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issue 3
93-106
PL
Celem artykułu jest ocena efektywności i ryzyka finansowego wybranych UFK z wykorzystaniem zarówno klasycznych, jak i alternatywnych mierników efektywności z uwzględnieniem ich ryzyka takich jak: współczynnik Sharpe’a, Jensena, Treynora, Sortino, UPR oraz Omega. Następnie dokonano porównania ich efektywności względem ryzyka, a tym samym wykazano, że odpowiedni zestaw mierników może stanowić nowe i pomocne narzędzie, pozwalające ubezpieczonemu podjąć prawidłową decyzję o strategii inwestowania środków w konkretne fundusze kapitałowe.
EN
The aim of the article is the analyse financial risk and evaluation efficiency of the portfolio of unit-linked insurance depending on fund investment strategy adopted were examined. For this purpose adopted a classic and alternative measures of effectiveness such as the Sharpe ratio, Jensen, Treynor, Sortino, the UPR and the Omega. Such knowledge will enable the insured to check and possibly change the proceeding strategy during the period of insurance adjusting the composition of portfolio to market situation and consequently assuring reimbursement adjusted to own needs.
5
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Korelacja wskaźnika Sharpe’a z miarami będącymi jego uogólnieniem dla funduszy akcyjnych w latach 2004–2015

63%
Żebrowska-Suchodolska D.
Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia
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2017
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vol. 51
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issue 6
EN
The work compares the results obtained with the Sharpe ratio and the selected measures based on this indicator and examines the relationship between them. MAD, DS, ASR, WS and M2 were selected for the study. They were designated for 16 equity funds in the period 2004–2015, which were divided into shorter subperiods (2, 3, 4 and 5 years). The results show a strong correlation of the Sharpe ratio with the MAD, DS, ASR, and M2 ratios and lack of correlation with the WS ratio.
PL
W pracy porównano wyniki otrzymane przy użyciu wskaźnika Sharpe’a i wybranych miar opartych na tym wskaźniku oraz zbadano zależność występującą między nimi. Do badań wybrano wskaźniki: MAD, DS, ASR, WS i M2. Zostały one wyznaczone dla 16 funduszy akcyjnych w okresie 2004–2015, który podzielono na krótsze podokresy (2-, 3-, 4- i 5-letnie). Otrzymane wyniki wskazują na silną korelację wskaźnika Sharpe’a ze wskaźnikami MAD, DS, ASR, M2 oraz jej brak w przypadku wskaźnika WS.
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