The industrial production dynamic in 2020

2021 ◽  
Author(s):  
Andrey Kaukin ◽  
Evgenia Miller ◽  
Marina Turuntseva
Keyword(s):  
Industrial Production ◽  
Production Dynamic

scholarly journals An estimation of the industrial production dynamic in the MERCOSUR countries using the Markov switching model

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Saba Infante ◽  
Edward Gómez ◽  
Luis Sánchez ◽  
Aracelis Hernández
Keyword(s):  
Industrial Production ◽  
Markov Switching ◽  
Markov Switching Model ◽  
Switching Model ◽  
Production Dynamic

Industrial Output in the USSR and Russia, 1861—2012. Part II. Crises and Cycles

2013 ◽  
pp. 138-153 ◽  
Author(s):  
S. Smirnov
Keyword(s):  
Industrial Production ◽  
Turning Points ◽  
Russian Empire ◽  
Industrial Output ◽  
Production Index ◽  
Russian Industry ◽  
Industrial Production Index ◽  
Cyclical Volatility

Calculation of the aggregated "consensus" industrial production index has made it possible to date cyclical turning points and to measure the depth and length of the main industrial recessions in Russian Empire/USSR/Russia for the last century and a half. The most important causes of all these recessions are described. The cyclical volatility of Soviet/Russian industry is compared to that of American one.

Cluster analysis and neural network modeling for movements of industrial production index of the Russian manufacturing industry

2019 ◽  
Vol 18 (11) ◽  
pp. 2158-2171
Author(s):  
P.B. Boldyrevskii ◽  
◽  
A.K. Igoshev ◽  
L.A. Kistanova ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Industrial Production ◽  
Manufacturing Industry ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Production Index ◽  
Industrial Production Index

Structural Improvement and the Intensification of Industrial Production

1967 ◽  
Vol 9 (9-11) ◽  
pp. 105-148
Author(s):  
S. A. Kheinman
Keyword(s):  
Industrial Production ◽  
Structural Improvement

Macroeconomic Factors and Pakistani Equity Market”

2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen
Keyword(s):  
Stock Market ◽  
Industrial Production ◽  
Stock Prices ◽  
Stock Price ◽  
Consumer Price Index ◽  
Reverse Causality ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Equilibrium Relationships

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.

The Common Sense for a Substainable Industrial Production

2009 ◽  
Author(s):  
Sergio Martinez
Keyword(s):  
Common Sense ◽  
Industrial Production ◽  
The Common
Sign in / Sign up

Export Citation Format

Share Document