Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jongbyung Jun"'
Publikováno v:
Korea International Trade Research Institute. 13:25-49
Forecasting exchange rate movements is extremely difficult. While the usual forecast requires determining the size and sign of change, we investigate if the direction of change alone is easier to forecast. The accuracy rate of monthly forecasts based
Autor:
Jongbyung Jun, A. Tolga Ergün
Publikováno v:
Management Research Review. 34:810-820
PurposeThe purpose of this paper is to propose a simple regression‐based method of forecasting daily electricity demand, which may serve as a more accurate benchmark for short‐term forecasts.Design/methodology/approachIn order to make more effici
Publikováno v:
Information Economics and Policy. 22:354-364
The purpose of this paper is to investigate how different types of strategic interaction affect firms’ optimal levels of digital rights management (DRM). In our game-theoretical duopoly model, the firms do not directly compete with prices, but they
Autor:
A. Tolga Ergün, Jongbyung Jun
Publikováno v:
The Quarterly Review of Economics and Finance. 50:264-272
We estimate several GARCH- and Extreme Value Theory (EVT)-based models to forecast intraday Value-at-Risk (VaR) and Expected Shortfall (ES) for S&P 500 stock index futures returns for both long and short positions. Among the GARCH-based models we con
Autor:
Jongbyung Jun
Publikováno v:
International Review of Economics & Finance. 17:477-489
The friction model is consistent with the hypothesis that a central bank intervenes in a foreign exchange market only if the necessity grows beyond certain thresholds. For this feature, the model is adopted in some recent studies as an attractive cen
Autor:
A. Tolga Ergün, Jongbyung Jun
Publikováno v:
Studies in Nonlinear Dynamics & Econometrics. 14
Recently, there has been much interest in modeling time-varying higher-order conditional moments in the density estimation context. These studies employ a moment-based methodology to test their specification of higher-order conditional moments. We co