The submitted paper focuses on information asymmetry in the area of investments in qualified investors' funds. The paper focuses on qualified investors' funds in the form of open-end mutual funds that allow the subscription of allotment certificates, i.e. they offer investment opportunities. The nature of qualified investors' funds allows, compared to standard funds, the execution of more venturous investment strategies, which, however, includes much higher risk connected to the information asymmetry. The paper is based on the assumption of information asymmetry between Investment Company and potential investors. The quality of the provided information is therefore critical; however, the investor cannot be expected to have the same knowledge of the fund as does the manager of the fund. The assumption of information asymmetry is based on the differences of interests of Investment Company and potential investor. Investor's interest is to maximize his own profit (net present value), but the interest of Investment Company is to maximize his profit (fee for managing the fund). The manager, maximizing the profit (his fee for managing the fund), may try to contort information towards the investor to "lure" him into an investment and thus achieve his goal. The objective of this dissertation paper is therefore the identification of risks connected to investing in QIF (qualified investors' funds) as result of the existence of IA (information asymmetry) on the side of the investor, qualitative analysis and proposal of measures leading to the elimination of IA. It's meant (in this paper) that information asymmetry is misrepresentation of information and also the incompleteness of information. The results are the basis for two outputs of this paper: investments recommendation for potential investors and information duties recommendation focused for Investment Companies. The aim of these outputs is to eliminate the influence of IA in the process of decision -- making of potential investors.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:259738 |
| Date | January 2015 |
| Creators | Veselá, Kamila |
| Contributors | Soukup, Alexandr, Severová, Lucie |
| Publisher | Česká zemědělská univerzita v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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