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Wyszukujesz frazę "Market abuse detection" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Can the publication of annual financial reports become an opportunity for insider trading?
Autorzy:
Suliga, M.
Powiązania:
https://bibliotekanauki.pl/articles/108412.pdf
Data publikacji:
2015
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
market abuse detection
insider trading
event study
GARCH process
Opis:
Illegal insider trading is a problem that involves most of financial markets. Unusual abnormal returns as well as increased trading volumes observed ahead of price sensitive information can be signals of this type of market abuse behavior. In this paper, I study the occurrence of insider trading on the Warsaw Stock Exchange. I verify if publications of annual financial reports of WIG issuers can be preceded by this phenomenon. The study includes reports from the period between 1 January, 2010, and 29 May, 2014. In order to define abnormal returns, I suit the GARCH process to daily returns and use event-study analysis. Potential insider trading behaviors are found with the use of two-day cumulative abnormal returns in a first step and with the use of daily abnormal returns afterwards. The publications that are marked with potential informed price movements are analyzed for the presence of extremely high abnormal trading volumes, which can be additional signals of market abuse.
Źródło:
Managerial Economics; 2015, 16, 1; 77-89
1898-1143
Pojawia się w:
Managerial Economics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Real-Time Market Abuse Detection with a Stochastic Parameter Model
Autorzy:
Cholewiński, Radosław
Powiązania:
https://bibliotekanauki.pl/articles/483319.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Market abuse detection
insider trading
real-time analysis
timevarying parameters
uni- and bivariate GARCH processes
Opis:
This paper develops a new model of market abuse detection in real time. Market abuse is detected, as Minenna (2003) proposed, on the basis of prediction intervals. The model structure is based on the discrete-time, extended market model introduced by Monteiro, Zaman, Leitterstorf (2007) to analyze the market cleanliness. Parameters of the expected return equation are assumed, however, to be time-varying and estimated under the state-space framework using the extended Kalman filter postulated by Chou, Engle, Kane (1992) to capture the GARCH effect in returns. QML estimation is performed on intraday data; its utilization is proposed as an alternative to the continuous time modeling by Minenna (2003). This framework is generalized to the bivariate case which enables the analysis of daily open/close data. The paper also extends procedures of the statistical verification of the estimated state-space model to include the uncertainty arising from time-invariant parameters.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2009, 1, 3; 261-284
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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