The growth in the Japanese stock market, 1949–90 and prospects for the future

1991 ◽  
Vol 12 (2) ◽  
pp. 183-195 ◽  
Author(s):  
William T. Ziemba ◽  
Sandra L. Schwartz
Keyword(s):  
Stock Market ◽  
The Future ◽  
Japanese Stock Market

scholarly journals Layers of Trauma: the Yiddish-Hebrew Fiction of Yosl Birshteyn (1920-2003)

2007 ◽  
Vol 52 (3) ◽  
pp. 434-449
Author(s):  
Albert Waldinger
Keyword(s):  
Stock Market ◽  
Short Story ◽  
Stock Market Crash ◽  
The Future ◽  
Story Writer

Abstract This article evaluates the function of Yiddish-Hebrew creative diglossia in the work of Yosl Birshteyn, a prominent Israeli novelist and short-story writer, particularly in the “first Kibbutz novel” in Yiddish, Hebrew-Yiddish fiction based on the Israeli stock market crash, and the future of Yiddishism in Hebrew and Yiddish. In short, Yiddish acts as a layer of all texts as a fact of communal pain and uncertainty in past, present and future. Birshteyn’s Hebrew originals were translated back into Yiddish and his Yiddish work was translated into Hebrew by famous and representative hands with stylistic and linguistic consequences examined here.

scholarly journals Stock Market Prediction using Machine Learning

2021 ◽  
Vol 9 (VI) ◽  
pp. 3628-3632
Author(s):  
Prof. Gowrishankar B S
Keyword(s):  
Machine Learning ◽  
Stock Market ◽  
Stock Price ◽  
Predictive Analytics ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Stock Market Prediction ◽  
The Future ◽  
Complicated Model

Stock market is one of the most complicated and sophisticated ways to do business. Small ownerships, brokerage corporations, banking sectors, all depend on this very body to make revenue and divide risks; a very complicated model. However, this paper proposes to use machine learning algorithms to predict the future stock price for exchange by using pre-existing algorithms to help make this unpredictable format of business a little more predictable. The use of machine learning which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction easier and authentic. The data has to be cleansed before it can be used for predictions. This paper focuses on categorizing various methods used for predictive analytics in different domains to date, their shortcomings.

scholarly journals Understanding the Interdependency between the Nifty 50 Future Index and the Advanced Future Stock Market through Econometrics

2019 ◽  
Vol 8 (4) ◽  
pp. 3660-3664
Keyword(s):  
Hong Kong ◽  
Stock Market ◽  
Granger Causality ◽  
Foreign Exchange ◽  
Financial Market ◽  
Stock Prices ◽  
Economic Condition ◽  
The Future ◽  
Bidirectional Movement ◽  
High Degree

In recent times the stock market is accepted as a tool to measure the economic condition of a nation. It is found that the Indian financial market as highly volatile due to the lower value of rupees in foreign exchange with the dollar. This motivated the researchers to measure the interdependencies of [Nifty 50 future (India), Nikkei 225(Japan), NASDAQ 100 Futures (USA), Dow Jones 30 (USA), SSEC (China), Hang Seng Future (Hong Kong), and FTSE 100 (London)]. The analysis covers monthly stock prices for a period of 10years from April 2008 to March 2018. The measurement of interdependencies is studied through granger causality and correlation after the confirmation of the non-normality of data and stationary of data. The result shows a high degree of correlation between NASDAQ and Dow Jones shows 98.76% followed by 96.89% between Nifty 50 future and NASDAQ. The co-movement result of Nifty 50 future through granger causality states Nifty 50 future can explain the future stock market of Nikkei (Japan) and SSEC (China) and the Hang Seng future (Hong Kong) has a bidirectional movement with Nifty 50 futures. The study is useful for the investors to identify the interdependencies of the indices and understand the movement in a significant manner.

scholarly journals Recent developments in BRIC’s corporate governance with a focus on Russia – Innovation or imitation?

2014 ◽  
Vol 11 (3) ◽  
pp. 369-380 ◽  
Author(s):  
Udo C. Braendle
Keyword(s):  
Corporate Governance ◽  
Stock Market ◽  
International Standards ◽  
Corporate Sector ◽  
Draft Code ◽  
Bric Countries ◽  
The Future ◽  
Recent Developments ◽  
Code Of Corporate Governance

The practice of joint-stock companies in Russia and other BRIC countries suggests that the development of the corporate sector and the stock market requires a corporate governance level of the companies that corresponds to international standards. The Russian Code of Corporate Conduct was implemented in 2002 and has not been revised for many years. The same is true for Codes of other BRIC countries. 2013 the situation has changed. Russia published a Draft Code of Corporate Governance that should reflect the changes in Russian Corporate Governance over the last 10 years. The paper critically analyses this draft code and gives implications about the future of corporate governance in Russia. We are doing so in comparing Russian Corporate Governance Initiatives with those of other BRIC countries.

The Spread of Market Values

The 1970s ◽  
2011 ◽  
Author(s):  
Thomas Borstelmann
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Standard Of Living ◽  
Human History ◽  
Market Values ◽  
The Poor ◽  
The World ◽  
The Future ◽  
World Economic

This chapter tracks the economy of the 1970s as it began to decline after the prosperity of previous decades. Economic growth had defined human history for two hundred years, reaching a peak in the generation after 1945 when world economic growth averaged an extraordinary 5–7 percent per year. Americans rode that growth to a higher standard of living than anyone else. But in the 1970s it all seemed to be flowing away. Unemployment, oil shortages, a plunging stock market, recession, and, above all, inflation were apparently ending these golden years of unparalleled prosperity. Inflation hit everyone, and it hit the poor hardest of all. Persistent inflation undercut dreams and hopes for the future. The economic trauma of the 1970s threatened to destabilize Americans' understanding of how the world worked.

Jump diffusion model with application to the Japanese stock market

2008 ◽  
Vol 78 (2-3) ◽  
pp. 223-236 ◽  
Author(s):  
Koichi Maekawa ◽  
Sangyeol Lee ◽  
Takayuki Morimoto ◽  
Ken-ichi Kawai
Keyword(s):  
Stock Market ◽  
Diffusion Model ◽  
Jump Diffusion ◽  
Jump Diffusion Model ◽  
Japanese Stock Market

The Japanese Stock Market: Pricing Systems and Accounting Information.

1989 ◽  
Vol 44 (4) ◽  
pp. 1110
Author(s):  
Randolph Westerfield ◽  
Shigeki Sakakibara ◽  
Hidetoshi Yamaji ◽  
Hisakatsu Sakurai ◽  
Kengo Shiroshita ◽  
...  
Keyword(s):  
Stock Market ◽  
Accounting Information ◽  
Market Pricing ◽  
Japanese Stock Market

Dynamic Dalmia: Can They Do it Again?

2020 ◽  
Vol 2 (1) ◽  
pp. 34-43
Author(s):  
Rohit Kumar ◽  
Arun Kumar Shukla
Keyword(s):  
Stock Market ◽  
Mergers And Acquisitions ◽  
Strategic Alliances ◽  
Growth Strategy ◽  
Growth Path ◽  
The Future

This case study is about Dalmia Cement which is one of the oldest cement companies in India, established in the year 1939. In early 2000s, the company started its journey of aggressive growth under the leadership of young promoter-cum-managing director. The company has been one of the best performing companies in Indias in the last decade and being valued as one of the most valuable scrips of the stock market. The company has grown organically as well as inorganically by meticulously executing strategies of mergers and acquisitions and forging strategic alliances to spur the growth. While the company has a clear growth strategy for the future, it needs to find ways of going forward to ensure it traverses on the same growth path as it has done before.

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