scholarly journals New financial markets and their impact on raw material prices

2019 ◽  
Vol 53 (3) ◽  
pp. 85
Author(s):  
Marek Szturo ◽  
Bogdan Włodarczyk
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Global Financial Crisis ◽  
Raw Materials ◽  
Chinese Economy ◽  
Raw Material ◽  
Chinese Stock Market ◽  
Distributed Lag ◽  
Commodity Currencies ◽  
The Impact

<p>The purpose of the study was to determine the impact of the Chinese financial market, which is a new market, on the exchange rates of commodity currencies and, thus, the prices of raw materials. For this purpose, an autoregressive distributed lag model (ARDL) was used. The results indicate that the Chinese stock market and futures market for the yuan (the Chinese Yuan Non-Deliverable Forward Transactions; CNY NDF market) had a significant impact on commodity currencies before the global financial crisis in 2008/09, then the effect widened to include more commodity currencies in the post-crisis period. Further evidence suggests that the CNY NDF market had a greater impact on commodity currencies than the Chinese stock market. Despite the significant position of the Chinese economy, research also indicates that the impact of Chinese financial markets on commodity currencies (raw material prices) is weaker than the impact of the US stock market and US dollar market.</p>

scholarly journals Impact persistence of stock market risks in commodity markets: Evidence from China

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259308
Author(s):  
Shusheng Ding ◽  
Zhipan Yuan ◽  
Fan Chen ◽  
Xihan Xiong ◽  
Zheng Lu ◽  
...  
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Market Risk ◽  
Commodity Markets ◽  
Chinese Stock Market ◽  
Stock Market Volatility ◽  
Gold Market ◽  
Shock Impact ◽  
Market Shocks ◽  
The Impact

The risk spillover among financial markets has been noticeably investigated in a burgeoning number of literature. Given those doctrines, we scrutinize the impact persistence of volatility spillover and illiquidity spillover of Chinese commodity markets in this paper. Based on the sample from 2010 to 2020, we reveal that there is a cross-market spillover of volatility and illiquidity in China and also, interactions between volatility and illiquidity in different financial markets are pronounced. More importantly, we demonstrate that different commodity markets have different responsiveness to stock market shocks, which embeds their market characteristics. Specifically, we discover that the majority of the traders in gold market might be hedger and therefore gold market is more sensitive to stock market illiquidity shock and thus the shock impact in persistent. On the other hand, agricultural markets like corn and soybean markets might be dominated by investors and thus those markets respond to the stock market volatility shocks and the shock impact in persistent over 10 periods given the first period of risk shock happening. In fact, different Chinese commodity markets’ responsiveness towards Chinese stock market risk shocks indicates the stock market risk impact persistence in Chinese commodity markets. This result can help policymakers to understand the policy propagation effect according to this risk spillover channel and risk impact persistence mechanism in China.

scholarly journals INVESTIGATING ABNORMAL VOLATILITY TRANSMISSION PATTERNS BETWEEN EMERGING AND DEVELOPED STOCK MARKETS: A CASE STUDY

2020 ◽  
Vol 21 (6) ◽  
pp. 1561-1592
Author(s):  
Cristi Spulbar ◽  
Jatin Trivedi ◽  
Ramona Birau
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Markets ◽  
Financial Integration ◽  
Global Financial Crisis ◽  
Spillover Effects ◽  
Garch Models ◽  
Asymmetric Garch ◽  
Developed Stock Markets ◽  
The Impact

The main aim of this paper is to investigate volatility spillover effects, the impact of past volatility on present market movements, the reaction to positive and negative news, among selected financial markets. The sample stock markets are geographically dispersed on different continents, respectively North America, Europe and Asia. We also investigate whether selected emerging stock markets capture the volatility patterns of developed stock markets located in the same region. The empirical analysis is focused on seven developed stock market indices, i.e. IBEX35 (Spain), DJIA (USA), FTSE100 (UK), TSX Composite (Canada), NIKKEI225 (Japan), DAX (Germany), CAC40 (France) and five emerging stock market indices, i.e. BET (Romania), WIG20 (Poland), BSE (India), SSE Composite (China) and BUX (Hungary) from January 2000 to June 2018. The econometric framework includes symmetric and asymmetric GARCH models i.e. EGARCH and GJR which are performed in order to capture asymmetric volatility clustering, interdependence, correlations, financial integration and leptokurtosis. Symmetric and asymmetric GARCH models revealed that all selected financial markets are highly volatile, including the presence of leverage effect. The stock markets in Hungary, USA, Germany, India and Canada exhibit high positive volatility after global financial crisis.

scholarly journals Non-Linear Interdependencies between International Stock Markets: The Polish and Spanish Case

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 6
Author(s):  
Francisco Jareño ◽  
Ana Escribano ◽  
Monika W. Koczar
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Explanatory Power ◽  
Chinese Market ◽  
Market Returns ◽  
Stock Market Returns ◽  
Distributed Lag ◽  
Non Linear ◽  
The Impact

This research analyzes non-linear interdependencies between the Polish (WIG20) and the Spanish (IBEX 35) stock market returns with some other relevant international stock market returns, such as the German (DAX-30), the British (FTSE-100), the American (S&P 500) and the Chinese (SSE Composite) stock markets. In addition, this research focuses on the impact of the stage of the economy on these interdependencies, in concrete, on the influence of the 2008 Global Financial Crisis. To that end, we use a nonlinear autoregressive distributed lag (NARDL) approach in the sample period between January 1998 to December 2018. Our results show positive interdependencies between the Polish and the Spanish stock markets with the international reference stock markets analyzed in this research, as well as significant long-run relations between most of the stock markets. Furthermore, the Polish and the Spanish stock market returns may similarly react to positive and negative changes in international stock market returns, evidencing strong short-run asymmetry. In addition, both countries show great persistence in response to both positive and negative changes in stock market returns in the other mayor international markets. Finally, the NARDL model proposed in this research would show good explanatory power, mainly to changes in the international stock market returns, except for the Chinese market.

scholarly journals IMPACT OF GLOBAL FINANCIAL CRISIS ON JAPAN, CHINA, INDIA AND USA STOCK EXCHANGE AND INTER-LINKAGE BETWEEN THEM

2016 ◽  
Vol 4 (5) ◽  
pp. 189-197
Author(s):  
Rabia Najaf
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Financial Markets ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Garch Model ◽  
The World ◽  
Prime Objective ◽  
The Impact

In this paper, we analyzed the impact of financial crisis on different countries by the using of E-GARCH model .our main finding is that in the financial crisis has impact on the stock exchange of different countries. We proved that due to financial crisis most of countries stock exchange have been affected badly. In the world,the American stock exchange was established in 1792. Two dozen brokers were started the stock trading.Now a day, 2,429 companies are listed under this stock exchange. The prime objective of the scholars is to find out the impact of financial crisis on the different stock market. Scholars have proved that financial crisis have always impacted on the financial markets.

scholarly journals Research on Sustainable Development of the Stock Market Based on VIX Index

2018 ◽  
Vol 10 (11) ◽  
pp. 4113
Author(s):  
Lei Ruan
Keyword(s):  
Sustainable Development ◽  
Stock Market ◽  
Financial Markets ◽  
Information Asymmetry ◽  
Stock Index ◽  
Chinese Stock Market ◽  
The Sustainable Development ◽  
Financial Variables ◽  
Dynamic Copula ◽  
The Impact

The frequent occurrence of financial crises has made the dynamic linkage between international financial markets an important research topic. In the past, scholars mostly studied the correlation between financial markets directly, however ignored the impact of exogenous financial variables on financial markets. The stock market is an important part of the financial market and plays an important role in the overall economy. Information asymmetry is common and has a certain degree of impact on investors’ returns. However, many scholars believe that the problem of information asymmetry in China has seriously negatively impacted investors, forming an unsustainable state. At present, there are still many problems in the Chinese stock market, especially the stock market fraud, which brings great challenges to the sustainable development of the stock market. Based on the idea of the STCC model, it is assumed that the Copula parameter is affected by the exogenous variables and the time-varying dynamic Copula model-ST-VCopula model is established. Based on the model, the influence of market volatility (VIX index) on the stock market is explored and then the stock index data of several countries are empirically analyzed. The empirical results show that the VIX index has a significant impact on the linkage between stock markets. The VIX index is easy and more intuitive to obtain, providing another way for the dynamic linkage research between the market, which can provide investors with some guidance and advice when conducting financial activities such as diversification.

scholarly journals Sustainability of Extraction of Raw Material by a Combination of Mobile and Stationary Mining Machines and Optimization of Machine Life Cycle

2020 ◽  
Vol 12 (24) ◽  
pp. 10454
Author(s):  
Katarína Teplická ◽  
Martin Straka
Keyword(s):  
Life Cycle ◽  
Raw Materials ◽  
Simulation Method ◽  
Raw Material ◽  
Optimal Distribution ◽  
Transport Costs ◽  
Scientific Discussion ◽  
Mining Companies ◽  
Conveyor Belts ◽  
The Impact

This article summarizes the arguments within the scientific discussion on the issue of using mining machines and their life cycle. The main goal of the article is to investigate the impact of a combination of mobile and stationary mining machines and their optimal distribution in the mining process to increase the efficiency of mining and processing of raw materials. The following methods of research were focused on the use of technical indicators for the valuation efficiency of the mining process: a simulation method was used for the distribution of mining machines, comparison analysis was used for the real and past state of mining machines, and a decision tree was used as managerial instrument for optimal alternatives of mining machines. The research empirically confirms and theoretically proves that optimal distribution of mining machines and machine parks is very important for mining companies. The benefit of this research for the mining company was the new location of the machines and the combination of stationary production lines and mobile equipment. The optimal layout of the machines reduced the number of conveyor belts and improved the transfer of limestone processing to mobile devices, saving time, which was reflected in transport costs. The results can be useful for other mining companies seeking to create an optimal machine park.

COVID -19 and Indian Financial Markets: A Review

2020 ◽  
Vol 16 (02) ◽  
pp. 1-8
Author(s):  
Kamaldeep Kaur Sarna
Keyword(s):  
Financial Markets ◽  
Financial Institutions ◽  
Financial Services ◽  
Stock Markets ◽  
Global Economy ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Negative Impact ◽  
Management Strategies ◽  
The Impact

COVID-19 is aptly stated as a Black Swan event that has stifled the global economy. As coronavirus wreaked havoc, Gross Domestic Product (GDP) contracted globally, unemployment rate soared high, and economic recovery still seems a far-fetched dream. Most importantly, the pandemic has set up turbulence in the global financial markets and resulted in heightened risk elements (market risk, credit risk, bank runs etc.) across the globe. Such uncertainty and volatility has not been witnessed since the Global Financial Crisis of 2008. The spread of COVID-19 has largely eroded investors’ confidence as the stock markets neared lifetimes lows, bad loans spiked and investment values degraded. Due to this, many turned their backs on the risk-reward trade off and carted their money towards traditionally safer investments like gold. While the banking sector remains particularly vulnerable, central banks have provided extensive loan moratoriums and interest waivers. Overall, COVID-19 resulted in a short term negative impact on the financial markets in India, though it is making a way towards V-shaped recovery. In this context, the present paper attempts to identify and evaluate the impact of the pandemic on the financial markets in India. Relying on rich literature and live illustrations, the influence of COVID-19 is studied on the stock markets, banking and financial institutions, private equities, and debt funds. The paper covers several recommendations so as to bring stability in the financial markets. The suggestions include, but are not limited to, methods to regularly monitor results, establishing a robust mechanism for risk management, strategies to reduce Non-Performing Assets, continuous assessment of stress and crisis readiness of the financial institutions etc. The paper also emphasizes on enhancing the role of technology (Artificial Intelligence and Virtual/Augmented Reality) in the financial services sector to optimize the outcomes and set the path towards recovery.

Impact of the OMRR Operation in Fighting the Adverse Effects of COVID-19 on the Chinese Stock Market: An Event Study

2021 ◽  
Vol 16 (3) ◽  
pp. 495-520
Author(s):  
Lin Guo ◽  
◽  
Xufei Zhang ◽  
Songlei Chao ◽  
◽  
...  
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Abnormal Return ◽  
Fiscal Policies ◽  
Chinese Stock Market ◽  
Open Market ◽  
Monetary Policies ◽  
Technology Industry ◽  
The Impact ◽  
China’S Economy

The outbreak of the COVID-19 epidemic has had an adverse effect on China's economy. This paper uses the event study method to test and measure the impact of the open market reverse repo (OMRR) operation on the Chinese stock market. The results show that the OMRR operation generates a positive daily abnormal return and a positive daily cumulative abnormal return on average for all stocks. The impact is larger for non-state-owned enterprise (non-SOE) firms than for SOE firms, stocks of non-Hubei provinces than those of the Hubei province, and for stocks of the information transmission and technology industry than those of other industries. We suggest that our government implement more prudent monetary policies and more proactive fiscal policies.

A Computation Methods for Analysis on the Effect of Stock Market and its Application

2014 ◽  
Vol 1078 ◽  
pp. 444-447
Author(s):  
Zhan Xin Ma ◽  
En Yang Zhao ◽  
Xi Ming Lv ◽  
Zhi Min Ma
Keyword(s):  
Stock Market ◽  
Capital Market ◽  
Turnover Rate ◽  
Market Value ◽  
Chinese Economy ◽  
Data Envelopment ◽  
Chinese Stock Market ◽  
Return On Assets ◽  
Generalized Data Envelopment Analysis ◽  
New Policies

As a barometer of the macroeconomic of a country and an important part of the capital market, stock market has attracted increasing and highlighted attention. As is well-known, Chinese stock market is known as 'policy market', however, the issue about whether the stock market is really influenced by these policies is always an important and hot topic. In this paper, by using generalized data envelopment analysis, an analysis on the effect of the new policies carried out in May 2012 is provided based on closing price, Tobin Q, circulation market value, turnover rate, and return on assets. Based on the above results, it can show the effect of stock market policies on Chinese Economy.

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