The aim of this study is to determine whether the stock indices of some developed and developing countries react similarly to the price movements in the Dow Jones Industrial Average (DJIA). In this study, the impact of DJIA on other indices during the 2008 global financial crisis, was explored by using the Vector Error Correction Model. The data used was analyzed in two periods: (1) the expansionary period; and (2) the contractionary period of the FED's policies. The results of the analysis indicate that the developed and emerging stock markets react differently to the DJIA. The results include important findings for decisions by financial investors and policy makers.

Formaat: MP4Omvang: 47,2 Mb27 February 2008Online beschikbaar: [01-12-2014]Standard Youtube LicenseUploaded on Jun 11, 2008Video summary of the ALDE workshop "The International Financial Crisis: Its causes and what to do about it?"Event date: 27/02/08 14:00 to 18:00Location: Room ASP 5G2, European Parliament, BrusselsThis workshop will bring together Members of the European Parliament, economists, academics and journalists as well as representatives of the European Commission to discuss the lessons that have to be drawn from the recent financial crisis caused by the US sub-prime mortgage market.With the view of the informal ECOFIN meeting in April which will look at the financial sector supervision and crisis management mechanisms, this workshop aims at debating a wide range of topics including:- how to improve the existing supervisory framework,- how to combat the opacity of financial markets and improve transparency requirements,- how to address the rating agencies' performance and conflict of interest,- what regulatory lessons are to be learnt in order to avoid a repetition of the sub-prime and the resulting credit crunch.PROGRAMME14:00 - 14:10 Opening remarks: Graham Watson, leader of the of the ALDE Group14:10 - 14:25 Keynote speech by Charlie McCreevy, Commissioner for the Internal Market and Services, European Commission14:25 - 14:40 Presentation by Daniel Daianu, MEP (ALDE) of his background paper14:40 - 15:30 Panel I: Current features of the financial systems and the main causes of the current international crisis.-John Purvis, MEP EPP-Eric De Keuleneer, Solvay Business School, Free University of Brussels-Nigel Phipps, Head of European Regulatory Affairs Moody's-Wolfgang Munchau, journalist Financial Times-Robert Priester, European Banking Federation (EBF), Head of Department Banking Supervision and Financial Markets-Ray Kinsella, Director of the Centre for Insurance Studies University College Dublin-Servaas Deroose, Director ECFIN.C, Macroeconomy of the euro area and the EU, European Commission-Leke Van den Burg, MEP PSE-David Smith, Visiting Professor at Derby Business School

This dataset is to replicate the results reported in the paper "Trade Dynamics in the Middle East: A GAMLSS Analysis of Economic and Conflict Variables". Data and information are gathered for 17 countries in the Middle East, namely Bahrain, Cyprus, Egypt, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, Turkey, the United Arab Emirates, Yemen, and Palestine (in alphabetical order).
World Bank Open Data, Metadata from the World Bank Group, and OECD National Accounts data files serve as the primary sources of the data. International trade policy changes in response to the recent global crisis during the COVID-19 pandemic. The definition of the variables is as follows:
Trade share (trade_shr): Trade (% of GDP); Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product. GDP Growth (GDP_gr): GDP growth (annual %); annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for the depreciation of fabricated assets or for the depletion and degradation of natural resource. Inflation (infl): Inflation, consumer prices (annual %); the consumer price index measures inflation and reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Dummy Variable for War (D1_War): The years in which countries are involved in war took the value of 1, and other years took the value of 0. Dummy Variable for Domestic Conflicts (D2_DC): The years in which countries are involved in domestic conflicts took the value of 1, and other years took the value of 0. Dummy Variable for Global Crisis (D3_GC): The years in which countries faced a global crisis took the value of 1, and other years took the value of 0. The global crises in this paper are as follows:
Great Depression (1929-1939) 1973-1974 Oil Price Shock 1979-1980 Oil Crisis Global Financial Crisis (2007-2008) Eurozone Crisis (2010-2014) COVID-19 Pandemic (2020-2022)

This study investigates the dynamic and asymmetric propagation of return spillovers between sectoral commodities and industry stock markets in China. Using a daily dataset from February 2007 to July 2022, we employ a time-varying vector autoregressive (TVP-VAR) model to examine the asymmetric return spillovers and dynamic connectedness across sectors. The results reveal significant time-varying spillovers among these sectors, with the industry stocks acting as the primary transmitter of information to the commodity market. Materials, energy, and industrials stock sectors contribute significantly to these spillovers due to their close ties to commodity production and processing. The study also identifies significant asymmetric spillovers with bad returns dominating, influenced by major economic and political events such as the 2008 global financial crisis, the 2015 Chinese stock market crisis, the COVID-19 pandemic, and the Russia-Ukraine war. Furthermore, our study highlights the unique dynamics within the Chinese market, where net information spillovers from the stock market to commodities drive the financialization process, which differs from the bidirectional commodity financialization observed in other markets. Finally, portfolio analysis reveals that the minimum connectedness portfolio outperforms other approaches and effectively reflects asymmetries. Understanding these dynamics and sectoral heterogeneities has important implications for risk management, policy development, and trading practices.

Abstract Thanks to lessons learned and reforms implemented after the financial crises of the late 1990s, most emerging market economies proved relatively resilient to the 2008 global crisis. Yet to cope with the turbulence that ensued, several interventions by monetary authorities in foreign exchange and capital markets were carried out. The literature on Latin American financial systems and central bank reform tends to emphasize international actors and pressures as key determinants of policy change. In contrast, this paper raises the hypothesis that domestic concerns were the main drivers of financial policymaking after the 2008 crisis even in countries with different institutional arrangements and macroeconomic trajectories such as Brazil, Mexico and Argentina. Through a comparative case study analysis, it is concluded that indeed the three countries’ approaches to exchange markets and capital controls contradicted international perceptions and even the IMF’s stance on foreign exchange policies and the management of capital flows. By pursuing more autonomy and responding to domestic priorities, each of the three countries adopted different policy measures.