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How to objectively rate investment experts in absence of full disclosure? : an approach based on a near perfect discrimination model
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Wessa, Patrick
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URL - Presentation file, Visit
http://mrvar.fdv.uni-lj.si/pub/mz/mz5.1/wessa.pdf
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Abstract
The result of this investigation is an operational model that can be used to accurately identify real stock market time series. In other words, if we are presented with a collection of blinded time series (real-life time series and simulated Random- Walks) then the proposed model will allow us to discriminate between both categories. In addition, it is shown that the type II error of this model quickly converges to zero as the time series length increases. The most remarkable feature of this model is its simplicity: a (bias-reduced) logistic regression with a single exogenous variable (the kurtosis p-value) based on the Quasi Random-Walk model that relates returns of equity and the entire market in times of large market returns. This model can be used as an objective rating benchmark for the models that are used by hedge funds to identify the stocks that should be used in a market neutral arbitrage strategy of long and short positions. In addition, it allows independent auditors to objectively evaluate the added value of statistical and technical analysis techniques that are often used in investment decisions. A rating mechanism that is based on the proposed benchmark, provides valuable information about the investment strategy even in absence of full disclosure.
Language:
English
Work type:
Not categorized
Typology:
1.01 - Original Scientific Article
Organization:
FDV - Faculty of Social Sciences
Year:
2008
Number of pages:
Str. 19-32
Numbering:
Vol. 5, No. 1
PID:
20.500.12556/RUL-23067
UDC:
311
ISSN on article:
1854-0023
COBISS.SI-ID:
29129053
Publication date in RUL:
11.07.2014
Views:
367
Downloads:
64
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Record is a part of a journal
Title:
Metodološki zvezki
Shortened title:
Metodol. zv.
Publisher:
Fakulteta za družbene vede
ISSN:
1854-0023
COBISS.SI-ID:
215795712
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