scholarly journals Measures of Globalization Based on Cross-Correlations of World Financial Indices

2001 ◽  
Author(s):  
Sergei Maslov
Keyword(s):  
Cross Correlations ◽  
Financial Indices

A METHOD TO ESTIMATE GAS-DROPLET VELOCITY CROSS-CORRELATIONS IN SPRAYS

2003 ◽  
Vol 13 (2-3) ◽  
pp. 23 ◽  
Author(s):  
S. Horender ◽  
Yannis Hardalupas
Keyword(s):  
Droplet Velocity ◽  
Cross Correlations

Public cloud computing for seismological research: Calculating large-scale noise cross-correlations using ALIYUN

2018 ◽  
Vol 31 (5-6) ◽  
pp. 227-233
Author(s):  
Weitao Wang ◽  
◽  
Baoshan Wang ◽  
Xiufen Zheng ◽  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Public Cloud ◽  
Cross Correlations

Global Banks on Trial

2020 ◽  
Author(s):  
Pierre-Hugues Verdier
Keyword(s):  
Tax Evasion ◽  
Information Exchange ◽  
Sovereign Debt ◽  
Criminal Cases ◽  
Financial Infrastructure ◽  
Compliance Officers ◽  
The 2008 Financial Crisis ◽  
Financial Indices ◽  
Fundamental Shift ◽  
Global Banks

In the years since the 2008 financial crisis, U.S. prosecutors have brought dozens of criminal cases against the world’s most powerful banks, charging them with manipulating financial indices, helping their customers evade taxes, evading sanctions, and laundering money. To settle these cases, global banks like UBS, Barclays, HSBC, and BNP Paribas paid tens of billions of dollars in fines. They also agreed to extensive internal reforms, hiring hundreds of compliance officers, spending billions on new systems, and installing independent corporate monitors. In effect, they agreed to become worldwide enforcers of U.S. law and policies. This book examines the U.S. enforcement campaign against global banks across four areas: benchmark manipulation, tax evasion, sanctions violations, and sovereign debt. It shows that U.S. prosecutors have unilaterally carved out a new role as global bank regulators, heralding a fundamental shift in how international finance is overseen. Their ability to do so stems from U.S. control over vital hubs of the international financial system, from which they can threaten global banks with exclusion. In some areas, these unilateral U.S. actions have ushered in important multilateral reforms, such as the rise of automatic tax information exchange and better-regulated financial indices. In other areas, such as financial sanctions, unilateralism has attracted protests from other states and attempts to bypass U.S.-based financial infrastructure, which could undermine the country’s power.

scholarly journals Detrended Multiple Cross-Correlation Coefficient applied to solar radiation, air temperature and relative humidity

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrea de Almeida Brito ◽  
Heráclio Alves de Araújo ◽  
Gilney Figueira Zebende
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Solar Energy ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Cross Correlation ◽  
Global Solar Radiation ◽  
Meteorological Variables ◽  
Hourly Data ◽  
Cross Correlations

AbstractDue to the importance of generating energy sustainably, with the Sun being a large solar power plant for the Earth, we study the cross-correlations between the main meteorological variables (global solar radiation, air temperature, and relative air humidity) from a global cross-correlation perspective to efficiently capture solar energy. This is done initially between pairs of these variables, with the Detrended Cross-Correlation Coefficient, ρDCCA, and subsequently with the recently developed Multiple Detrended Cross-Correlation Coefficient, $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2. We use the hourly data from three meteorological stations of the Brazilian Institute of Meteorology located in the state of Bahia (Brazil). Initially, with the original data, we set up a color map for each variable to show the time dynamics. After, ρDCCA was calculated, thus obtaining a positive value between the global solar radiation and air temperature, and a negative value between the global solar radiation and air relative humidity, for all time scales. Finally, for the first time, was applied $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2 to analyze cross-correlations between three meteorological variables at the same time. On taking the global radiation as the dependent variable, and assuming that $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}={\bf{1}}$$DMCx2=1 (which varies from 0 to 1) is the ideal value for the capture of solar energy, our analysis finds some patterns (differences) involving these meteorological stations with a high intensity of annual solar radiation.

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