A Study on Welfare Policies in Sweden and the U.K. Before and After International Financial Crisis

2017 ◽  
Vol 7 (2) ◽  
pp. 47-69
Author(s):  
Yun-Jung Kim ◽  
Sung-Jong Yun
GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.


2020 ◽  
Author(s):  
Guofeng Sun ◽  
Wenzhe Li ◽  
Qiong Liu ◽  
Chunyi Zhang ◽  
Jingxuan Song

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Rui Esteves ◽  
Nathan Sussman

AbstractFinancial markets reacted with a vengeance to the COVID-19 pandemic. We argue that while the spread of the pandemic is statistically significant in explaining changes to bond spreads, it has little additional explanatory power over variables that capture financial stress. Financial markets reacted as in any international financial crisis by penalizing emerging economies exposing existing vulnerabilities. This finding highlights the need for credible, but flexible, sovereign currencies and the need to build up liquidity reserves.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Ali Raza ◽  
Nida Shah ◽  
Muhammad Tahir Suleman ◽  
Md Al Mamun

Purpose This study aims to examine the house price fluctuations in G7 countries by using the multifractal detrended fluctuation analysis (MF-DFA) for the years 1970–2019. The study examined the market efficiency between the short-term and long-term in the full sample period, before and after the global financial crisis period. Design/methodology/approach This study uses the MF-DFA to analyze house price fluctuations. Findings The findings confirmed that the housing market series are multifractal. Furthermore, all the markets showed long-term persistence in both the short and long-term. The USA is identified as the most persistent house market in the short run and Japan in the long run. Moreover, in terms of efficiency, Canada is identified as the most efficient house market in the long run and the UK in the short run. Finally, the result of before and after the financial crisis period is consistent with the full sample result. Originality/value The contribution of this study in the literature is fourfold. This is the first study that has examined the house prices efficiency by using the MF-DFA technique given by Kantelhardt et al. (2002). Previously, the house market prices and efficiency has been investigated using generalized Hurst exponent (Liu et al., 2019), Quantile Regression Approach (Chae and Bera, 2019; Tiwari et al., 2019) but no study to the best of the knowledge has been done that has used the MF-DFA technique on the housing market. Second, this is the first study that has focused on the house markets of G7 countries. Third, this study explores the house market efficiency by dividing the market into two periods i.e. before and after the financial crisis. The study strives to investigate if the financial crisis determines the change in the degree of market efficiency or not. Finally, the study gives valuable insights to the investors that will help them in their investment decisions.


Author(s):  
Pedro Raffy Vartanian ◽  
Sérgio Gozzi Citro ◽  
Paulo Rogério Scarano

Over the last 25 years, Brazil has been among the countries with the highest interest rates globally. High interest rates have been necessary during several recent times, such as in the period from 1997 to 1999, due to the repeated international financial crises that have plagued the country. From 1999, a sustained path of interest rate reduction begun. With the outbreak of the 2008 international financial crisis, the Brazilian monetary authorities promoted a new round of falling domestic interest rates in response to the recessive effects and the threat of a systemic crisis that could hang over the national financial system. In 2012, a set of interventionist nature policies led to a decrease in the Selic rate. Thus, looking at the last 25 years, it appears that many factors have started to influence the trajectory of Brazilian interest rates. In this context, the present work aims to identify, based on empirical research, the determinants of spot and future interest rates. As a methodology, the research uses a multivariate econometric vector autoregressive model (VAR) with error correction (VEC). The analysis covers the years 2017 to 2019, corresponding to the period in the aftermath of the global financial crisis of 2008. The results evidence that both the spot rate and the DI future can be determined by the fluctuations in the level of inflation and by the level of activity and the real exchange rate, in addition to the effects of the lagged variables themselves.


Sign in / Sign up

Export Citation Format

Share Document