Investigations to the Nonlinear Relationship between Financial Index and Industrial Production

2017 ◽  
Vol 17 (1) ◽  
pp. 123-139
Author(s):  
Hyunsok Kim
Keyword(s):  
Industrial Production ◽  
Nonlinear Relationship ◽  
Financial Index

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.

Optimization Methods for Financial Index Tracking: From Theory to Practice

2018 ◽  
Author(s):  
Konstantinos Benidis ◽  
Yiyong Feng ◽  
Dajiel P. Palomar
Keyword(s):  
Optimization Methods ◽  
Index Tracking ◽  
Theory To Practice ◽  
Financial Index

Effects of Financial Inclusion on Startup Establishment in OECD Countries

2018 ◽  
Vol 34 (1) ◽  
Author(s):  
Dinh Thi Thanh Van ◽  
Nguyen Thuc Trang
Keyword(s):  
Success Factors ◽  
Oecd Countries ◽  
Financial Inclusion ◽  
Economic Research ◽  
Mobile Banking ◽  
Policy Makers ◽  
Academic Researchers ◽  
Financial Index ◽  
Enterprise Survey

Financial inclusion and startup are two topics, which recently get attention of academic researchers and policy makers in Vietnam. One of the important factors for setting up a successful startup is the financial capability of the owners. Therefore, financial inclusion has a strong correlation with startup establishment. This article tested the effects of several factors in financial index (findex) developed by World Bank on startup establishment in some OECD countries. The result showed that borrowing from friends and relatives along with from credit institutions and opening a debit account at banks have  significant impacts on startup establishment in these countries. Finally, the article presented several recommendations for policy makers to stimulate the startup growth in Vietnam in the next time. Key words startup, financial inclusion, startup establishment References 1. Colman Msoka (2015), “Financial inclusion and microfinance in Tanzania”, Inclusive growth: Tanzania Country Report2. Endeavor-GEM, 2011, “High-Impact Entrepreneurship Global Report”3. Eric Ries, 2012, “The Lean Startup” book”, http://www.stpia.ir/files/The%20Lean%20Startup%20.pdf 4. European Startup Monitor, 2015, “European Startup Monitor 2015”, http://europeanstartupmonitor.com/fileadmin/presse/download/esm_2015.pdf 5. Jennifer Dahlin Ivarsson (2014), “Mobile-banking and entrepreneurship: Is there a link? A case study on South Africa”, Nationalekonomiska Institutionen, Box 7082, ISSN 0283 – 15896. Maher Al-Mahouq (2010), “Success factors of small and medium-sized enterprises(SMEs): The case of Jordan”, Anadol University jourmal of social sciences, Cilt/Vol.: 10 – Say/No:1-16 (2010)7. Mohammed S.Chowdhury (2013), “Success factors of entrepreneurs of small and medium sized enterprises: Evidence from Banladesh”, Business and Economic Research, ISSN 2162 – 4860, 2013, Vol.3, No.2.8. OECD, 2015, “Entrepreneurship at a Glance 2015”9. Roman Angela, 2011, “SME’s sector access to finance: An overview”10. Yao Wang, 2014, “What are the biggest obstacles to growth of SMEs in developing countries? An empirical evidence from an enterprise survey”, JED 210 Paper

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.

Sign in / Sign up

Export Citation Format

Share Document