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Statistical properties of the liquidity and its influence on the volatility prediction
Název práce v češtině: Statistical properties of the liquidity and its influence on the volatility prediction
Název v anglickém jazyce: Statistical properties of the liquidity and its influence on the volatility prediction
Klíčová slova: likvidita, riziko, volatilita, očekáváný výnos, magický trojúhelník, cenový skok, realizovaná variance, bi-power variance, 3SLS, logit, vysokofrekvenční data, S&P 100
Klíčová slova anglicky: liquidity measures, liquidity dynamics, magical triangle, volatility prediction, price jumps, high-frequency data, realized variance, quadratic variation, bi-power variation
Akademický rok vypsání: 2013/2014
Typ práce: diplomová práce
Jazyk práce: angličtina
Ústav: Institut ekonomických studií (23-IES)
Vedoucí / školitel: prof. PhDr. Ladislav Krištoufek, Ph.D.
Řešitel: skrytý - zadáno vedoucím/školitelem
Datum přihlášení: 14.02.2014
Datum zadání: 14.02.2014
Datum a čas obhajoby: 23.06.2016 09:00
Místo konání obhajoby: IES
Datum odevzdání elektronické podoby:14.05.2016
Datum proběhlé obhajoby: 23.06.2016
Oponenti: Martin Burda, Ph.D.
 
 
 
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Předběžná náplň práce v anglickém jazyce
During the last 40 years econometric literature has offered many views on the issues concerning the measuring of the volatility (risk), volatility modelling and volatility prediction. However there is a hole in research, which would elaborate on statistical properties of the liquidity, liquidity’s dynamics and its influence on the volatility prediction. Besides volatility is further influencing returns of the assets, as it is well established empirically (higher returns are significantly correlated with higher risk). Thus if liquidity’s dynamics would be properly described, it could be rather easy to understand correctly the transmission mechanism of the whole “magical triangle“, i.e. relation between liquidity, return and risk.

Volatility in financial markets is essential for asset pricing. Recent studies show that discontinuous price jumps are indeed important and have a significant impact on volatility and thus also on asset pricing etc. In this thesis we are going to examine whether liquidity has the influence on the price jumps. We will be using the high-frequency data.

For the purposes of monetary policy, appropriate supervisory review of the banks and lowering the effect of a major liquidity shock, precise estimates of the future (il)liquidity are of principal importance. For instance, illiquidity, rather than poor asset quality, is the immediate cause of most bank failures. Recently the topic has attracted a lot of attention of economists and e.g. Basel III introduces two liquidity standards, which should be implemented until 2018.
 
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