Does US stock market react differently to rating announcements during crisis period? The case of the 2008 worldwide financial crisis

2016 ◽  
Vol 4 (3/4) ◽  
pp. 193
Author(s):  
Abdelkader Boudriga ◽  
Dorsaf Azouz Ghachem
Author(s):  
Alan N. Rechtschaffen

This chapter discusses the origins of the 2007 financial crisis, subprime lending, and government-sponsored entities. It argues that the events driving financial markets to the precipice of collapse during the global financial meltdown gave rise to a regulatory framework that may have been a rational response to a market in free fall, but need to be reassessed in an era of recovery. In 2018, the U.S. economy may be, by many measures, viewed as wholly recovered from the economic impact of the crisis. The stock market is trading at record highs, having erased all the losses of the crisis period and then some. With this recovery, the Trump administration seeks to restrain the regulatory burden imposed during the crisis.


Author(s):  
Abdelkader Boudriga ◽  
Dorsaf Azouz Ghachem

We study the rating impact on American stock market during crisis period by distinguishing expected versus surprise announcements. If unexpected ratings generate stronger reaction than expected ones, which means that rating agencies maintain credibility and influence on investors’ decisions. Otherwise, they have to revise their methodologies and procedures in order to recover place on financial markets. Results show that during crisis period market reaction to bad and neutral expected rating announcements is negative and more accentuated than reaction to surprise announcements; on contrary to good news that produce a short positive impact when they are unexpected and are not perceived by the market otherwise. Results reflect once more market distrust to rating agencies and faith loss towards announcements.


2017 ◽  
Vol 13 (19) ◽  
pp. 191
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire

The moderating effect of events such as the 2008 Global Financial Crisis (GFC) on the relation between stock market returns and macroeconomic variables has attracted very little attention. This study investigates the extent to which the 2008 GFC moderated the relationship between inflation rate and stock market returns. The study uses month-onmonth inflation rate and year-on-year inflation rate from 1st January 1993 to 31st December 2015 and divides the sample data into pre-crisis period (from 1st January 1993 to 31st December 2007); crisis period (from 1st January 2008 to 30th June 2009); and post-crisis period (from 1st July 2009 to 31st December 2015). It uses a product-term regression model instead of the most widely applied additive regression model. Results indicate that a unit increase in the both measures of inflation rate had significant depressing effects on stock market returns after the crisis compared to before the crisis. Likewise, the results reveal that average stock market returns were significantly higher after the crisis compared to before the crisis at low rather than medium or high values of the two measures of inflation rate. These results suggest that the Kenyan stock market is highly sensitive to variations in inflation rate, especially as it emerges from a financial or political turmoil. This study is empirically innovative in the sense that it is the first to examine the moderating effect of the 2008 GFC on the relation between inflation rate and stock market returns in Kenya using a product-term model.


2019 ◽  
Vol 18 ((1)) ◽  
Author(s):  
Marcos Vera Leyton

This document study the existence of financial crisis contagion, it defined like the transmission of the shocks between countries, which translates in increasing in the correlation anything beyond or fundamental link, taking as a source of contagion by EEUU, Brasil, and analyzing Mexico, Colombia, Peru, Chile and Argentina like “Infected” countries, for the period covered between July 3 of 2001, date of unification of the Colombia Stock Market, to July 3 of 2010. To identify crisis period, and to evoid volatility overestimation, it used the algorithm iterative cumulative sum of squares ICCS, developed by Inclan y Tiao (1994), additionally calculated the dynamic conditional correlation (DCC) Engle Model (2002). The document includes a review of several studies, concepts, and transmission (Contagion) methodologies, and it constitutes one of the few studies that includes Colombia like analysis source.  So this study verifies the existence of contagion in the countries studies, except Argentina, but warns that the measure of impact that a crisis in a given country has over other countries is highly sensitive to the way we choose the time window before and after the crisis.


2020 ◽  
Vol 32 (2) ◽  
pp. 177-195
Author(s):  
Abdelkader Derbali ◽  
Ali Lamouchi

Purpose The purpose of this paper is to understand and compare the extent and nature of the impact of foreign portfolio investment (FPI) on the stock market volatility, particularly in the Southeast Asian emerging markets, and compare that against the corresponding experience of Indian economy, in the context of a global financial crisis of the recent past. Design/methodology/approach The Asian emerging markets are now being perceived as becoming financially more and more vulnerable to international events because of their growing exposure to unstable foreign investment flows. The daily net FPI inflow and the daily leading stock market composite index of four countries, namely, Thailand, the Philippines, Indonesia and India, have been analyzed using autoregressive conditional heteroscedasticity (ARCH)-generalized ARCH group of models dividing the study period from 2000 to 2014 among pre-crisis, crisis and post-crisis period separately. Findings The study reveals that the net inflow of FPI has been a significant determinant of stock market returns in all countries. The impact of volatility spillover from the FPI market to the stock market in the sample countries has been found to be different under different market conditions. The past information and volatility clustering have been significantly influencing the stock market return volatilities of all these Southeast Asian countries on average. Originality/value However, there are significant country-wise differences in the relative importance and direction of the relationship of each of these effects with the volatility of the FPI and the stock markets. These effects have been different in these four different markets and they have significantly altered in strength and significance during the global financial crisis and in the post-financial crisis period.


2021 ◽  
Vol 9 (3) ◽  
pp. 33
Author(s):  
Ahmed Jeribi ◽  
Sangram Keshari Jena ◽  
Amine Lahiani

The study investigates the safe haven properties and sustainability of the top five cryptocurrencies (Bitcoin, Ethereum, Dash, Monero, and Ripple) and gold for BRICS stock markets during the COVID-19 crisis period from 31 January 2020 to 17 September 2020 in comparison to the precrisis period from 1 January 2016 to 30 January 2020, in a nonlinear and asymmetric framework using Nonlinear Autoregressive Distributed Lag (NARDL) methodology. Our results show that the relationship dynamics of stock market and cryptocurrency returns both in the short and long run are changing during the COVID-19 crisis period, which justifies our study using the nonlinear and asymmetric model. As far as a sustainable safe haven is concerned, Dash and Ripple are found to be a safe haven for all the five markets before the pandemic. However, all five cryptocurrencies are found to be a safe haven for three emerging markets, such as Brazil, China, and Russia, during the financial crisis. In a comparative framework, gold is found to be a suitable safe haven only for Brazil and Russia. The results have implications for index fund managers of BRICS markets to include Dash and Ripple in their portfolio as safe haven assets to protect its value during a stock market crisis.


2006 ◽  
Vol 8 (3) ◽  
pp. 367 ◽  
Author(s):  
Rosylin Mohd. Yusof ◽  
M. Shabri Abd. Majid

This paper examines long run co-movements between Malaysian stock market and the two largest stock markets in the world: the U.S. and Japan. By employing time-series analysis, i.e., cointegration, variance decompositions, and impulse response functions, the paper seeks to investigate which market actually leads the Malaysian stock market before, during, and after the 1997 Asian financial crisis periods. The results indicate that there is a co-movement of these markets only in the post crisis period. The Japanese stock market is found to significantly move the Malaysian stock market compared to U.S. stock market for the post-crisis period. At the same time, there seems to be a growing proportion of bilateral trade between Malaysia and Japan during the mentioned period. This finding seems to be consistent with the view that the stronger the bilateral trade ties between two countries, the higher the degree of co-movements (Masih and Masih 1999; Bracker et al. 1999; Pretorius 2002; Ibrahim 2003; Kearney and Lucey 2004). Our finding implies that the opportunities of gaining abnormal profits through investment diversification during the post-crisis period in the Malaysian and Japanese stock markets are diminishing as the markets move towards a greater integration. This further implies that any development in the Japanese economy has to be taken into consideration by the Malaysian government in designing policies pertaining to Malaysian stock market.


2018 ◽  
Vol 22 (4) ◽  
pp. 365-376
Author(s):  
Narinder Pal Singh ◽  
Sugandha Sharma

Over the globe, the various financial markets are becoming integrated and the linkages among variables Gold prices, Crude Oil prices, US Dollar rate and Stock market (GODS) invite a special attention of various financial analysts and investors. For an import-dependent country like India, the interplay among these variables is vital. Thus in this study, we investigate the cointegration and causality relationship among gold, crude oil, us dollar and stock market (Sensex) across the global financial crisis of 2008. We use Johansen's cointegration technique, Vector Error Correction Model (VECM), Vector Auto Regression (VAR), VEC Granger Causality/Block Exogeneity Wald Test and Granger Causality, and Variance Decomposition to study cointegration and strength & direction of causality for three sub-periods. Johansen's cointegration test results indicate that there is long-run equilibrium relationship among the variables in the pre-crisis and the crisis periods but not in post-crisis period. VECM results report that none of four models of the variables show long-run causality in the pre-crisis period at 5% level of significance. During the crisis period, both crude oil and Sensex models show long run causality. However, in some cases short-run causality is indicated in results. Granger causality test results show that there is one-way causality from USD and Sensex to crude oil, and from gold and Sensex to USD. Thus, we conclude that the relationship among GODS is dynamic and has been affected by global financial crisis of 2008.


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