Results 301 to 310 of about 90,737 (348)
Granger Causality of Interest Rate and Exchange Rate on Stock Volatility at Chicago Options Market
Abul Hasnat Muhammed Salimullah
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ABSTRACT The current study presents a causal model of climate‐induced psychological resilience by assessing the impact of dispositional mindfulness, self‐efficacy beliefs, and perceived restorativeness of nature. It further examines the associations among climate change coping strategies, subjective well‐being components, eco‐emotions, and resilience ...
Anastasia Gkargkavouzi, George E. Halkos
wiley +1 more source
A Method for Assessing the Risks to Sustainability Posed by Process Operations
ABSTRACT We present a framework for assessing the risks to sustainability posed by any given set of processes. The objective is to improve sustainability by enabling better decision‐making in policy and business contexts. The framework can be applied to any system of processes where available information supports discovery and quantification of ...
Richard C. Darton, Colin J. Axon
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New nonparametric measures for instantaneous and granger-causality tail co-dependence. [PDF]
Diks C, Wolski M.
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ABSTRACT This study develops and tests a novel prioritization framework for the Sustainable Development Goals (SDGs) under varying geographic scales (regional, sub‐regional, national), focusing on the Middle East and North Africa (MENA) region as a pilot case.
Lea Issa, Mutasem El Fadel
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Military Spending and Inequality: Panel Granger Causality Test
Eric Lin, Hamid E. Ali
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2011
As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application.
Tian Ge, Jianfeng Feng
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As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application.
Tian Ge, Jianfeng Feng
+4 more sources
Conditional Granger causality and partitioned Granger causality: differences and similarities
Biological Cybernetics, 2015Neural information modeling and analysis often requires a measurement of the mutual influence among many signals. A common technique is the conditional Granger causality (cGC) which measures the influence of one time series on another time series in the presence of a third. Geweke has translated this condition into the frequency domain and has explored
Malekpour, Sheida, Sethares, William A.
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Granger causality and stopping times*
Lithuanian Mathematical Journal, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Petrović, Ljiljana +2 more
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