Results 131 to 140 of about 527,275 (338)

The effect of using machine learning tools on the civil law judiciary system with a look at the experience of the People's Republic of China and its usage in the Iranian judicial system

open access: yesحقوق فناوریهای نوین
The goal of any legal system is to develop social order and justice for all through solving the disputes of individual members of society. It seems that with the development of new technologies, reaching this goal can be pursued more quickly.
Javad Kashani   +2 more
doaj   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu   +3 more
wiley   +1 more source

THE RIGHT TO MORTGAGE IN THE LIGHT OF EUROPEAN CIVIL CODES

open access: yesIustinianus Primus Law Review, 2017
The most recent history of the development of the institution of mortgage began with the great modifications of the nineteenth century. The large codification activity realized through civil codes, such as the French Civil Code, the General Austrian ...
Emine Zendeli
doaj  

Creating European Rights: National Values and Supranational Interests [PDF]

open access: yes, 2005
This Article develops an explanation for the emergence of individual rights before the European Commission, one of the oldest and most powerful international organizations in existence today.
Bignami, Francesca E.
core   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn   +2 more
wiley   +1 more source

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