Results 91 to 100 of about 12,905 (282)
NVMain 2.0: A User-Friendly Memory Simulator to Model (Non-)Volatile Memory Systems
, 2015 In this letter, a flexible memory simulator - NVMain 2.0, is introduced to help the community for modeling not only commodity DRAMs but also emerging memory technologies, such as die-stacked DRAM caches, non-volatile memories (e.g., STT-RAM, PCRAM, and ...
Poremba, Matthew, Xie, Yuan, Zhang, Tao
core +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
Journal of Forecasting, EarlyView.ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Inconsistency of the Capital Asset Pricing Model in a Multi‐Currency Environment
International Journal of Finance &Economics, EarlyView.ABSTRACT The capital asset pricing model (CAPM) is a widely adopted model in asset pricing theory and portfolio construction because of its intuitive nature. One of its main conclusions is that there exists a global market portfolio that each rational investor should hold in proportion to the risk‐free asset. In this paper, we demonstrate theoretically
Khalifa Al‐Thani +4 more
wiley +1 more source
Brexit and Its Impact on EU Financial Markets
International Journal of Finance &Economics, EarlyView.ABSTRACT We investigate the impact of Brexit on volatility spillovers across the EU countries. We introduce a Brexit intensity measure that assigns an intensity score reflective of the financial markets' reaction to the events that occurred as Brexit negotiations began to unfold.
Marwan Izzeldin +3 more
wiley +1 more source
Exchange Rates and Sovereign Risk: A Nonlinear Approach Based on Local Gaussian Correlations
International Journal of Finance &Economics, EarlyView.ABSTRACT We empirically assess the interlinkages between sovereign risk, measured in terms of CDS spreads, and exchange rates for a sample of emerging markets. Our period of analysis includes episodes of severe stress, such as the Global Financial Crisis, the COVID‐19 pandemic, and the Ukrainian War.
Reinhold Heinlein +2 more
wiley +1 more source
The non-issue of politics over Ram Mandir [PDF]
The consecration of the Ram Lalla idol at Ayodhya and even the construction of the temple are unnecessarily being dragged into political mire by vested interests.
Batra, Jagdish
core
Sustainable Metal Recovery From E‐Waste: Exploring Greener Leachates in Hydrometallurgical Processes
MetalMat, EarlyView.Recycling of electronic waste to synthesize valuable metals using green leachate. ABSTRACT The accumulation of electronic waste (e‐waste) poses environmental hazards and leads to the loss of valuable metals such as gold, silver, copper, and rare earth elements.
Shassatha Paul Saikat +4 more
wiley +1 more source
Non-Volatile Memory for Fast, Reliable File Systems
, 1992 Given the decreasing cost of non-volatile RAM (NVRAM), by the late 1990's it will be feasible for most workstations to include a megabyte or more of NVRAM, enabling the design of higher-performance, more reliable systems. We present the trace-driven
Mary Baker +5 more
core +1 more source
Implementing potential climate‐smart practices through diverse partnerships
PLANTS, PEOPLE, PLANET, EarlyView.Climate change is one of the greatest threats to society, negatively impacting agriculture and crop yields. Globally, agriculture is also one of the largest greenhouse gas (GHG) emitting sectors. Climate‐smart practices that are developed through diverse partnerships with scientists and practitioners are needed to decrease GHG emissions. We implemented
Kristina J. Bartowitz +6 more
wiley +1 more source
Bivariate postprocessing of wind vectors
Quarterly Journal of the Royal Meteorological Society, EarlyView.We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source