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Polish Absolute Return Funds And Stock Funds. Short And Long Term Performance Comparison

100%
Perez K.
Folia Oeconomica Stetinensia
|
2014
|
vol. 14
|
issue 2
179-197
EN
In this paper I focus on analyzing whether Polish absolute return funds, which I call quasi-hedge funds, add value to a portfolio of an individual investor by reaching higher returns than Polish stock funds. I use a sample of 25 Polish absolute return investment funds to contrast their short and long term performance, measured by Sharpe, Sortino and Jensen ratios, to the short and long term performance of 20 biggest Polish stock funds and build rankings based on that performance. Later I build funds of funds (with a different number of stock funds and/or quasi-hedge funds) and check which of them is the most efficient. I find out that in both short and long term Polish quasi-hedge funds have better returns than stock funds and they add much value to the investors’ portfolios. It can be explained by the fact that they are much smaller and younger than traditional funds, so they have much higher potential to grow and reach abnormal returns.
2
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Ewolucja regulacji prawnych i zmiany wielkości rynku funduszy inwestycyjnych w Unii Europejskiej

63%
Perez K., Borowski G.
Studia BAS
|
2018
|
issue 1(53)
77-99
EN
The article looks at the evolution of regulatory framework and size of investment fund market in the EU. The authors describe the three-stage evolution of the EU regulations determining the growth of the size of this market: (1) investor protection, (2) creation and strengthening the single financial market in the EU, and (3) protecting stability and integrity of the market. Particular attention is given to the last stage, as they claim that the post-crisis regulations allowed the EU single investment fund market to gain the trust of investors, which has resulted in its expansion and improved competitiveness.
3
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Bitcoin – wirtualny eksperyment czy waluta przyszłości?

63%
Perez K., Urbaniak M.
Ruch Prawniczy, Ekonomiczny i Socjologiczny
|
2013
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vol. 75
|
issue 4
163-180
EN
The main purpose of our paper is to characterise the electronic currency named bitcoin and discuss its potential role in the global financial market. In order to reach our goal we first present two approaches of defining bitcoin, and then explain the process of its issue and turnover in Internet. Based on our findings, the advantages and disadvantages of using the digital currency are then identified. Later we present a short market history of bitcoin, in which we concentrate on the events crucial for its growth. It helps us to identify and systematise the determinants of market development. We divide those determinants into three groups: macroeconomic, legal and social, and conclude that bitcoin is an alternative payment method which has a chance to become a legal virtual currency in the future.
PL
Niniejszy artykuł ma na celu przybliżenie istoty bitcoin oraz jest próbą odpowiedzi na pytanie, jaką rolę elektroniczna moneta odegra na globalnym rynku finansowym w przyszłości. W pierwszej kolejności w artykule przedstawiono dwa sposoby definiowania bitcoin oraz mechanizm emisji tej monety i obrotu w Internecie. Na tej podstawie wyodrębniono zalety i wady elektronicznej monety w kolejności ich ważności. Następnie zaprezentowano dotychczasową genezę rynku bitcoin, co pozwoliło na zidentyfikowanie i uszeregowanie determinant jego rozwoju. Wśród nich za najistotniejsze uznano ograniczoną podaż bitcoin i rosnący nań popyt, pogłębianie się globalnego kryzysu zadłużeniowego, stopniowe wprowadzanie przejrzystych regulacji prawnych, utrzymanie wiarygodności dotyczącej emisji monet oraz rosnącą akceptację tej formy płatności przez użytkowników Internetu. Na koniec rozważań o bitcoin przedstawiono możliwe zastrzeżenia zgłaszane przez biernych obserwatorów rynku, które wciąż pozostają bez jednoznacznej odpowiedzi. W podsumowaniu przyjęto stanowisko pośrednie, nadające bitcoin status nowatorskiego wynalazku, który dzięki swojej hybrydowej naturze może być pierwszym krokiem do pieniądza przyszłości.
4
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Actual rate of the management fee in mutual funds of different styles

63%
Perez K., Szymczyk Ł.
Equilibrium. Quarterly Journal of Economics and Economic Policy
|
2022
|
vol. 17
|
issue 4
969-1014
EN
Research background: Exponential growth of passive mutual funds after 2007?2008 global financial crisis put pressure on active fund managers to lower the management fees. The real costs of active fund management are, however, very often higher than the values of management fees reported publicly. Thus it is not easy to decide on the quality of the fund management and estimate the level of management charges optimal for the future fund performance. Purpose of the article:  In this study, we propose to utilize an actual rate of the management fee (ARMF) disclosed in the management company financial statements as a measure of the real value of the management costs and investigate its determinants in mutual funds of different styles. Methods: Using a dataset of 21,618 monthly observations for 500 mutual funds from a market of diversified structure and high management fees charged we test the operating model of a mutual fund performance, and derive the formula of a before-fee return with the ARMF as its component. The fund performance is measured by a raw before-fee return and two types of risk-adjusted alphas based on the multifactor model of Carhart (1997) and the fund attributes. Later, using panel data we explain ARMF by mutual fund performance and attributes. We also compare the results to the ones obtained for the total operational cost (TOC) ? a value similar to ARMF that is disclosed in mutual fund financial reports. Findings & value added: We find that the proposed ARMF is related more to the size and not to the performance, age or a cash flow of mutual funds. We observe it among all studied fund styles. The largest deviations of the average ARMF are seen in the management companies that belong to the banks? capital groups. The proposed measure of the management fee included in the operating model of a mutual fund performance can be used for any local mutual fund worldwide, and compared with other fund markets of more or less diversified style structures.
5
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Classification of Open-End Investment Funds Using Artificial Neural Networks. The Case of Polish Equity Funds

63%
Perez K., Szczyt M.
Central European Economic Journal
|
2021
|
vol. 8
|
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.
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