scholarly journals Anticipating the stock market crash of 1929: The view from the floor of the stock exchange

2010 ◽  
pp. 294-318 ◽  
Author(s):  
Eugene N. White
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Stock Market Crash

Iran’s ebullient stock market is heading for a crash

2020 ◽  
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Real Estate Market ◽  
Social Consequences ◽  
Stock Market Crash ◽  
Content Type ◽  
High Inflation ◽  
Online Trading ◽  
The Government ◽  
Media Channels

Significance This was despite a sharp economic contraction, high inflation and currency devaluation. The government has played a significant role in promoting equities growth, with state or quasi-state organisations dominating the market. Impacts A stock market crash would have devastating economic and social consequences. With many reluctant to leave their houses because of COVID-19, the growth in online trading technology will accelerate. There will be a boom in firms providing stock market advice through social media channels for a small one-off or monthly fee. Diversion of funds from the forex market to the stock exchange will temporarily help ward off a new currency crisis. With richer Iranians seeking to transfer additional assets abroad, there could be a new boost for the Turkish real estate market.

scholarly journals Efficiency and Multifractality Analysis of the Chinese Stock Market: Evidence from Stock Indices before and after the 2015 Stock Market Crash

2019 ◽  
Vol 11 (6) ◽  
pp. 1699 ◽  
Author(s):  
Chenyu Han ◽  
Yiming Wang ◽  
Yingying Xu
Keyword(s):  
Stock Market ◽  
Market Efficiency ◽  
Stock Exchange ◽  
Practical Significance ◽  
Fluctuation Analysis ◽  
Chinese Stock Market ◽  
Stock Market Crash ◽  
Gaussian Probability Density Function ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Daily Return

This paper examines the daily return series of four main indices, including Shanghai Stock Exchange Composite Index (SSE), Shenzhen Stock Exchange Component Index (SZSE), Shanghai Shenzhen 300 Index (SHSE-SZSE300), and CSI Smallcap 500 index (CSI500) in Chinese stock market from 2000 to 2018 by multifractal detrended fluctuation analysis (MF-DFA). The series of the daily return of the indices exhibit significant multifractal properties on the whole time scale and SZSE has the highest multifractal properties among the four indices, indicating the lowest market efficiency. The multifractal properties of four indices are due to long-range correlation and fat-tail characteristics of the non-Gaussian probability density function, and these two factors have different effects on the multifractality of four indices. This paper aims to compare the multifractility degrees of the four indices in three sub-samples divided by the 2015 stock market crash and to discuss its effects on efficiency of the Shanghai and Shenzhen stock market in each sub-sample. Meanwhile, we study the effect of the 2015 stock market crash on market efficiency from the statistical and fractal perspectives, which has theoretical and practical significance in the application of Effective Market Hypothesis (EMH) in China’s stock market, and it thereby affects the healthy and sustainability of the market. The results also provide important implications for further study on the dynamic mechanism and efficiency in stock market and they are relevant to portfolio managers and policy makers in a number of ways to maintain the sustainable development of China’s capital market and economy.

Study on the Non-Random and Chaotic Behavior of Chinese Equities Market

2003 ◽  
Vol 06 (02) ◽  
pp. 199-222 ◽  
Author(s):  
Patrick K. K. Chu
Keyword(s):  
Nonlinear Dynamics ◽  
Stock Market ◽  
Chaos Theory ◽  
Hurst Exponent ◽  
Chaotic Dynamics ◽  
Financial Analysis ◽  
Chaotic Behavior ◽  
Stock Exchange ◽  
Stock Market Crash ◽  
Bds Test

After the stock market crash of October 19, 1987, interest in nonlinear dynamics and chaotic dynamics have increased in the field of financial analysis. The extent that the daily return data from the Shanghai Stock Exchange Index and the Shenzhen Stock Exchange Index exhibit non-random, nonlinear and chaotic characteristics are investigated by employing various tests from chaos theory. The Hurst exponent in R/S analysis rejects the hypothesis that the index return series are random, independent and identically distributed. The BDS test provides evidence for nonlinearity. The estimated correlation dimensions provide evidence for deterministic chaotic behaviors.

scholarly journals The dynamics of stock market development in the United States of America

2013 ◽  
Vol 3 (1) ◽  
pp. 93-102
Author(s):  
Sheilla Nyasha ◽  
Nicholas M. Odhiambo
Keyword(s):  
United States ◽  
Stock Market ◽  
United States Of America ◽  
Stock Exchange ◽  
The United States ◽  
Stock Exchanges ◽  
Stock Market Crash ◽  
Stock Market Development ◽  
Market Capitalisation ◽  
The U.S

This paper highlights the origin and development of the stock market in the United States of America. The country consists of several stock exchanges, with the three largest being the NYSE Euronext (NYX), National Association of Securities Dealers Automated Quotation (NASDAQ), and the Chicago Stock Exchange. Stock market reforms have been implemented since the stock market crash of 1929; and the exchanges responded positively to some of these reforms, but not so positively to some of the reforms. As a result of the reforms, the U.S. stock market has developed in terms of market capitalisation, the total value of stocks traded, and the turnover ratio. Although the U.S. stock market has developed over the years, its market still faces wide-ranging challenges.

scholarly journals The Response of Karachi Stock Exchange to Nuclear Detonation

1999 ◽  
Vol 38 (4II) ◽  
pp. 777-786 ◽  
Author(s):  
Attiya Y. Javed ◽  
Ayaz Ahmed
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Far East ◽  
Stock Market Crash ◽  
The Far East ◽  
The Usa

Stock markets are highly reactive to internal and external developments. News of major events take no time to impact, the Stock Exchange that quite often serves as a barometer of the good and bad for the market. The importance of particular events and their effect on the stock market has been a subject of study in financial literature. Such studies attempt to assess the extent to which stock markets’ performance stray’s from the normal around the time of the occurrence of subject events. The stock market crash in the USA of October 1987 and related crash in the Far East later in January 1998 led to several studies of the event.

VOLATILITY CONTAGION AMONG STOCK, CURRENCY, AND BULK SHIPPING MARKET DURING THE CHINA’S STOCK MARKET CRASH CRISIS

2021 ◽  
pp. 1-18
Author(s):  
ARTHUR JIN LIN
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Spillover Effect ◽  
Future Market ◽  
Domestic Currency ◽  
Stock Market Crash ◽  
Currency Market ◽  
Bulk Shipping ◽  
Before And After ◽  
Commodity Future

Six financial markets were verified contagious to Shanghai Stock Exchange Composite (SSEC): domestic equity market (SSEC and China COSCO Shipping Co.), domestic currency market, international currency market, global shipping market, commodity future market and bulk shipping market (BDI) which regarded as a leading indicator of future economic growth instead of Li Keqiang index. This research analyzed intermarket contagion from March 14, 2008 to March 31, 2018. MIDAS-GARCH model was adopted to identify the spillover effect among the Shanghai Stock market and inter-market indices. The findings of this study were concluded as follows: (1) The commodity, global shipping market had significant volatility transmission to SSEC both before and after the crash crisis. (2) The volatility of domestic currency market was significantly contagious to SSEC only after the crash.

Sign in / Sign up

Export Citation Format

Share Document