@misc{Khemissi_Eliza_Problems_2016,
author={Khemissi, Eliza},
identifier={DOI: 10.15611/ekt.2016.2.08},
year={2016},
rights={Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy},
description={Ekonometria = Econometrics, 2016, Nr 2 (52), s. 108-122},
publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu},
language={eng},
abstract={In the article the author checked the properties of coherent measures of risk for Expected Value, Expected Shortfall, Maximum Loss (for losses weighted with probability), Median, Median Absolute Deviation, “Arithmetic Mean of Absolute Deviations from Median”, Quantiles, Cumulative Distribution Function and Mid-Range in connection with the last financial crisis. Methodology of the research – mathematical proving and theoretical analysis. Results. The survey shows that the above functions are not coherent measures of risk with some definition of stochastic order and in many cases not measures of risk in terms of the axiomatic definition. The paper shows also that the lemma used in the literature to prove monotonicity of Expected Shortfall is not truth and we will prove the lemma with the opposite relation. Value of the paper – Mathematical proofs in the field of risk measurement. Showing some problems with monotonicity of risk measures. Contradicting the lemma of monotonicity of Expected Shortfall. Own definition of first degree stochastic order},
title={Problems of monotonicity of some popular risk measures},
type={artykuł},
keywords={measures of risk, expected shortfall, expected value, Maximum Loss, coherence, miary ryzyka, oczekiwany niedobór, wartość oczekiwana, maksymalna strata, miary koherentne},
}