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pro vyhledávání: '"Abdullah Karasan"'
Autor:
Esma Gaygısız, Abdullah Karasan
Publikováno v:
The Journal of Financial Data Science. 2:85-104
This study aims first at improving volatility prediction using a machine learning model called support vector regression GARCH (SVR-GARCH) using selected 30 stocks listed on the S&P 500. The authors compare the prediction results of the SVR-GARCH mod
Autor:
Abdullah Karasan
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Liquidity is extremely important not only within the context of financial markets but also in every scale of economic transactions. In this study, within the realm of financial markets, we configure liquidity as an independent stochastic process mode
Autor:
Abdullah Karasan, Esma Gaygısız
Publikováno v:
SSRN Electronic Journal.
Autor:
Abdullah Karasan
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-bas
Autor:
Abdullah Karasan
Publikováno v:
SSRN Electronic Journal.
Various empirical studies highlight the importance of productivity and institutions along with the traditional economic growth determinants in the growth process. Comparative role of productivity and institutions in convergence, however, remains ambi