scholarly journals A Robust Regression-Based Stock Exchange Forecasting and Determination of Correlation Between Stock Markets

2018 ◽  
Vol 10 (10) ◽  
pp. 3702 ◽  
Author(s):  
Umair Khan ◽  
Farhan Aadil ◽  
Mustansar Ali Ghazanfar ◽  
Salabat Khan ◽  
Noura Metawa ◽  
...  

Knowledge-based decision support systems for financial management are an important part of investment plans. Investors are avoiding investing in traditional investment areas such as banks due to low return on investment. The stock exchange is one of the major areas for investment presently. Various non-linear and complex factors affect the stock exchange. A robust stock exchange forecasting system remains an important need. From this line of research, we evaluate the performance of a regression-based model to check the robustness over large datasets. We also evaluate the effect of top stock exchange markets on each other. We evaluate our proposed model on the top 4 stock exchanges—New York, London, NASDAQ and Karachi stock exchange. We also evaluate our model on the top 3 companies—Apple, Microsoft, and Google. A huge (Big Data) historical data is gathered from Yahoo finance consisting of 20 years. Such huge data creates a Big Data problem. The performance of our system is evaluated on a 1-step, 6-step, and 12-step forecast. The experiments show that the proposed system produces excellent results. The results are presented in terms of Mean Absolute Error (MAE) and Root Mean Square Error (RMSE).

2019 ◽  
Vol 64 (2) ◽  
pp. 157-186
Author(s):  
Leslie Hannah

AbstractModern discussions of corporate governance have focused on convergence of «varieties of capitalism», particularly the recent «Americanisation» of laws and voluntary codes in Germany, Japan, and other civil law countries. However German and Japanese legal and business historians have suggested that corporate governance, accounting transparency or other favourable factors in their countries were historically a match for – or even superior to – those in the US. An alleged consequence was deeper penetration by the Berlin and Tokyo stock exchanges of their domestic economies than of the US by the New York Stock Exchange (NYSE), using measures such as market capitalization/GDP ratios. This paper reviews the classic Rajan and Zingales data on the sizes of stock exchanges. It concludes that the evidence for Japanese historical precocity relative to the US, after the necessary allowance is made for regional stock exchanges and corporate bond finance, stands up better to this closer examination than that for Germany.Many financial historians now agree that stock exchange development was not historically determined by legal origins («Anglo-Saxon» common vs Euro-Japanese civil law), though today it appears to be driven by legal rules protecting shareholders and/or bondholders and limiting directorial autocracy and information asymmetry. However, both today and historically in some cultures private order rules (voluntary codes, bourse listing requirements, bankers as trusted intermediaries, block-holder monitoring, etc) offered substitute protections, or at least complemented protective laws. This paper reviews the plausibility of these determinants of historical stock exchange sizes – and others that have been neglected – in Japan, Germany, and elsewhere, before 1950.


Author(s):  
Milan B. Vemić

A major problem for medium enterprises is ensuring that their financial management exercises prudence in the attraction of alternative sources of financing in transition into middle tier, larger enterprise status and towards stock exchange. Difficulties in attracting capital, the high cost of bank credit, absence of robust financial and business information reporting capacities may represent obstacles. One partial solution is capacity development for access to stock exchanges and having these institutions with a strong allocation capacity to efficiently finance these businesses. Though underdeveloped in transition economies, they are potentially important institutions in successful financial performance of businesses. In a review of conditions for handling risk and uncertainty, developing capacity for access to stock exchanges through working capital combinations, this treatise demonstrates that medium enterprises could benefit from this approach. Regulatory reforms to facilitate the use of stock exchange financing and well-designed financial management models are recommended.


This chapter examines a unique dataset, which, to the best of my knowledge, has not hitherto been used. It concerns the relationship between corporate governance and firm value in the context of Chinese firms cross-listed on major international exchanges, which include the NASDAQ, the New York Stock Exchange (NYSE), the Hong Kong Main Board, the Hong Kong Growth Enterprise Market (GEM), the Singapore Stock Exchange, and the London Alternative Investment Market (AIM). The study is grounded in the bonding theory, which asserts that stringent corporate governance requirements imposed by overseas regulations enhance firm value. Contrary to this theory, firms listed on stock exchanges in mainland China alone command significantly better value than those that are cross-listed on overseas stock exchanges. This results in the conclusion that the general bonding theory cannot adequately explain how cross-listing affects firm valuation in the Chinese context, and thus a refined theory is required.


2017 ◽  
Vol 9 (1) ◽  
pp. 74
Author(s):  
D. Alasdair S. Turnbull

This paper analyzes the relative trading activity of securities cross-listed on two highly integrated international stock exchanges. We find that traders choose an exchange on the basis of superior market quality, as measured by better quoted prices, greater depth at the market in its limit order book and better price continuity. As well, clientele effects influence trade location. From the perspective of a US investor, the price impacts of the total sample of trades for these securities, are statistically significantly lower on the New York Stock Exchange than on the Toronto Stock Exchange; but are not economically different. The results are consistent with the order splitting hypothesis and the co-existence of multiple markets.


2014 ◽  
Vol 11 (4) ◽  
pp. 717-746 ◽  
Author(s):  
Khaled Aljifri ◽  
Hugh Grove ◽  
Lisa Victoravich

This paper analyzes the corporate governance listing requirements of major global stock exchanges to assess the level of investor protection from investment disasters, such as corporate fraudulent financial reporting (e.g. Enron, Lehman Brothers, Satyam, and Parmalat) and the 2008 financial crisis which destroyed over $1 trillion in market capitalization of U.S. companies. This investor protection issue is especially critical for emerging stock exchanges that are trying to attract foreign investors, such as in the United Arab Emirates (UAE) and Russia. This issue is assessed by comparing the corporate governance listing requirements of the well-established stock exchanges in the United States (both the New York Stock Exchange or NYSE and the over-the-counter-stock-exchange or NASDAQ), United Kingdom (London), and Singapore to the listing requirements of the emerging stock exchanges in the UAE and Russia. The effectiveness of these corporate governance listing requirements in protecting investors is assessed by determining how they address ten common corporate governance factors which represent lessons learned from recent fraudulent financial reporting scandals. These ten factors have been divided into two groups of five. The first five common factors were the same ones found in a 2010 Commission on Corporate Governance report, sponsored by the New York Stock Exchange, to investigate the 2008 financial crisis. This paper has called them “structural” factors and labelled the other five common factors as “behavioral” factors. The global listing requirement comparisons reveal that investors seem to be quite well protected from the five “structural” factors but not the five “behavioral” factors. The paper concludes with listing requirement suggestions to protect investors from these five “behavioral” factors. Investor protection from all ten factors is still needed as recent U.S. and global surveys have indicated that financial reporting manipulations are ongoing


Author(s):  
RamMohan R. Yallapragada ◽  
Alfred Toma ◽  
C. William Roe

In the late 1990s, financial markets in the United States (U S ) were rocked by accounting scandals in companies such as Enron and WorldCom. Public confidence in American business was at a low ebb. As a knee-jerk reaction to the scandals, the U S Congress hastily passed the Sarbanes-Oxley Act of 2002 (SOX) hoping to restore the lost image of the U S business firms. SOX rendered corporate governance and protecting corporate assets a matter of Federal mandates. Penalties for violation of the provisions of SOX include a maximum of 25 years of prison and/or a fine of twenty five million dollars. For small and mid-size firms, the implementation costs became prohibitive. The exorbitant implementation costs of Section 404 of SOX and the draconian criminal sanctions for senior management are driving companies to flee from The New York Stock Exchange to more favorable exchanges overseas. The London Stock Exchange appears to be the most benefited one from the passage of SOX. This paper presents the salient provisions of SOX, the havoc caused to the business firms by its implementation costs, and the present trend of flight of capital from American stock exchanges to overseas stock exchanges such as the London Stock Exchange.


Author(s):  
Jyotsna Malhotra ◽  
Jasleen Kaur Sethi ◽  
Mamta Mittal

Nowadays, a large amount of valuable uncertain data is easily available in many real-life applications. Many industries and government organizations can exploit this data to extract valuable information. This information can help the managers to enhance their strategies and optimize their plans in making decisions. In fact, various private companies and governments have launched programs with investments and funds in order to maximize profits and optimize resources. This vast amount of data is called big data. The analysis of big data is important for future growth. This paper depicts big data analytics through experimental results. In this paper, data for New York stock exchange has been analyzed using two mapper files in Hadoop. For each year, the calculation of maximum and minimum price of every stock exchange and the average stock price is done.


The SARS Cov-2 (Covid 19) pandemic has shaken the whole world; it has brought the business, education, industry, transport, communications, travel, hospitality almost all the economic activities to a standstill. Accordingly, it has adversely affected the financial markets and stock exchanges across the globe. The stock exchanges, may it be New York Stock Exchange, Dow Jones, London Stock Exchange, Nikkei, Bombay Stock Exchange or National Stock Exchange experienced an unprecedented plunge of 40 to 50% in a period few weeks. This new dynamic of volatility possesses serious questions about the market driven National Pension System (NPS) which endeavor to ensure smooth retirement life for Indian elderly. The volatility in security market will significantly impact the fund managers’ performance and accordingly the retirement benefit of the subscriber. This article has investigated the impacts of pandemic on fund manager’s risk returns profile. We have used three industry standard risk-adjusted returns parameters such as Sharpe ratio, Treynor Ratio and Jensen’s alpha to evaluate the performance of NPS pension fund managers selected under study. The study has also explored the learning from such unexpected crisis for the policy makers for future preparedness. On the basis of finding, it has suggested some measures for long run sustainability of schemes under NPS. Keywords : NPS, PFRDA, Defined benefit, Defined contribution, Pension fund managers, Risk adjusted returns, COVID-19.


Author(s):  
Bin Chang

Technological innovation is propelling the move in financial markets away from fractional trading and towards decimal trading, as in the example of The New York Stock Exchange (NYSE) tick size changed from $1/16 to $0.01 on January 29, 2001. This chapter examines the impact of that trend as it relates to market quality and trading behaviour, and draws on comparisons between NYSE and NASDAQ, as well as evidence from other markets and market-traded securities, in demonstrating how decimalization leads to a decrease in the bid-ask spread and depth and an improvement in the probability of information-based trading, while having seemingly no effect on the frequency of limit orders. Our examination also demonstrates how the 1996 decimalization of the Toronto Stock Exchange (TSX, formerly TSE) has had little impact on its giant competitor, NYSE.


2020 ◽  
Vol 11 (2) ◽  
pp. 255
Author(s):  
Randi Anto ◽  
Irene Rini Demi Pangestuti

Various studies have been carried out in relation to the behavior of dual listing stock prices, unfortunately, study on the effects of changes in dual listing stock prices on the Indonesia Stock Exchange (IDX) is still limited. Differences in trading time and stock exchange class between one stock exchange with another in different countries raise an opportunity for the accumulation of information when one of the exchanges is experiencing a closing trading period. Indonesian companies such as PT. Telekomunikasi Indonesia (Persero) Tbk. (TLKM) whose shares are listed on the New York Stock Exchange (NYSE) and IDX experience the difference in time of their transaction which can affect the shares on the NYSE and on the IDX. This study conducted by using daily data from January 2018 to December 2018. This study found that there is a significant effect of changes in TLKM stock prices on the NYSE in (t-1) period to changes in TLKM stock prices on IDX in t-period. This finding proves that there was the existence of transmission of information between the stock exchanges utilized by investors.


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