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Equilibrium real effective exchange rates and real exchange rate misalignments : time series vs. panel estimates
Hossfeld, Oliver - 2010
We follow the behavioral equilibrium exchange rate approach by Clark and MacDonald (1998) to derive equilibrium real effective exchange rates and currency misalignments for the US and its 16 major trading partners. We apply cointegration and panel cointegration techniques to derive fully...
Persistent link: https://www.econbiz.de/10011374380
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Robust block bootstrap panel predictability tests
Westerlund, Joakim; Smeekes, Stephan - 2013
Persistent link: https://www.econbiz.de/10010199463
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Equilibrium real effective exchange rates and real exchange rate misalignments : time series vs. panel estimates
Hossfeld, Oliver - 2010
Persistent link: https://www.econbiz.de/10008903193
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Forecasting New Product Awareness in Simulated Test Marketing : The Approach for Emerging Markets
Korotkov, Nikolay Y. - 2011
Simulated test marketing (STM) is a quantitative technique used to forecast new product sales, one of the most validated tools in all marketing research. Forecasting awareness is an important stage in that process, one critical to STM performance. Awareness models incorporated into popular STMs...
Persistent link: https://www.econbiz.de/10014176688
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The forecasting performances of volatility models in emerging stock markets : is a generalization really possible?
Iltuzer, Zeynep; Tas, Oktay - In: Journal of applied finance & banking 3 (2013) 2, pp. 49-73
In almost all stages of forecasting volatility, certain subjective decisions need to be made. Despite of an enormous …. In order to find out outperforming model in general not just in the contexts of studies, volatility models should be …, EWMA), GARCH family models (GARCH, GRJ-GARCH, GARCH, APARCH, NAGARCH, FIGARCH) and Stochastic Volatility model. The …
Persistent link: https://www.econbiz.de/10009743532
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Density forecasts in panel data models : a semiparametric Bayesian perspective
Liu, Laura - 2018
This paper constructs individual-specific density forecasts for a panel of firms or households using a dynamic linear model with common and heterogeneous coefficients and cross-sectional heteroskedasticity. The panel considered in this paper features a large cross-sectional dimension N but short...
Persistent link: https://www.econbiz.de/10011932215
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Forecasting with a panel Tobit model
Liu, Laura; Moon, Hyungsik Roger; Schorfheide, Frank - In: Quantitative economics : QE ; journal of the … 14 (2023) 1, pp. 117-159
We use a dynamic panel Tobit model with heteroskedasticity to generate forecasts for a large cross‐section of short time series of censored observations. Our fully Bayesian approach allows us to flexibly estimate the cross‐sectional distribution of heterogeneous coefficients and then...
Persistent link: https://www.econbiz.de/10014306360
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The predictive ability of consumer sentiment's volatility to the Malaysian stock market's volatility
Nathrah Yacob; Mahdzan, Nurul Shahnaz - In: Afro-Asian Journal of Finance and Accounting : AAJFA 4 (2014) 4, pp. 460-476
Persistent link: https://www.econbiz.de/10011457470
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Modeling and forecasting the volatility of returns in the infrastructure sector in emerging markets
Magweva, Rabson; Sibanda, Mabutho - In: Eurasian journal of business and economics : EJBE 13 (2020) 25, pp. 37-52
Persistent link: https://www.econbiz.de/10012225640
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Estimation of large dimensional conditional factor models in finance
Gagliardini, Patrick; Ossola, Elisa; Scaillet, Olivier - 2019 - This version: August 2019
This chapter surveys recent econometric methodologies for inference in large dimensional conditional factor models in finance. Changes in the business cycle and asset characteristics induce time variation in factor loadings and risk premia to be accounted for. The growing trend in the use of...
Persistent link: https://www.econbiz.de/10012101166