Titlebook: Behavioral Predictive Modeling in Economics; Songsak Sriboonchitta,Vladik Kreinovich,Woraphon Y Book 2021 The Editor(s) (if applicable) an

跟隨

Find Trade Patterns in China’s Stock Markets Using Data Mining Agentspes of agent follow different rules to trade, with decisions made on data mining algorithms and real data from China’s stock markets and NASDAQ in the US. The time range for this study covers last six years, the most volatile period in last 30 years in China’s markets. The generalizations show that,

AFFIX

裂口

overrule

Conditional Dependence Among Oil, Gold and U.S. Dollar Exchange Rates: A Copula-GARCH Approachitish Pound, Japanese Yen and Canadian Dollar) on a daily basis over the last decade. In order to capture the tail dependence between commodity market and USD exchange rates, we apply both bivariate zero tail and tail copulas, combined with the AR-GARCH marginal distribution for gold, oil and exchan

Airtight

GEST

saphenous-vein

H. Schmitz,P. Emmerich,J. ter Meulenance of the sign change method with those based on the traditional charts in this study. From the simulation result, we show that the sign change method can detect out of control signals more efficiently based on the MC1 or the EMWMA control chart statistics.

期滿

SIT

Book 2021how to take into account people‘s behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning

BRAWL

Importance-Informed Reliability Engineeringtween using enough controls to eliminate the omitted variable bias but not so many as to induce overfitting. The last part of the paper discusses recent developments in the field that go beyond the PDS approach.