scholarly journals Historical evolution and current state of investment of the Norwegian sovereign wealth fund in the stock market

2021 ◽  
Vol 7 (1) ◽  
pp. 23-40
Author(s):  
Laura Gómez-Pavón Durán
Keyword(s):  
Stock Market ◽  
Listed Companies ◽  
Investment Strategy ◽  
Historical Evolution ◽  
Economic Sector ◽  
Sovereign Wealth Funds ◽  
Sovereign Wealth Fund ◽  
The Past ◽  
Current State ◽  
Key Players

Over the past three decades, Sovereign Wealth Funds (SWF) have grown to become key players in the global investment landscape. At the top of this list is the Norwegian SWF, with a volume of assets under management surpassing 1 billion US$1, of which 70% is invested in more than 9,000 listed companies worldwide. This paper offers a global and descriptive vision of the evolution of the distribution of investment in shares, taking into account criteria such as the economic sector to which it belongs, the region where the investment is made or the number of companies that attract this investment. It is concluded that the fund has chosen to consolidate a highly diversified investment strategy both geographically and by industry.

scholarly journals Milestones in Software Engineering and Knowledge Engineering History: A Comparative Review

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Isabel M. del Águila ◽  
José Palma ◽  
Samuel Túnez
Keyword(s):  
Software Engineering ◽  
Knowledge Engineering ◽  
Lessons Learned ◽  
Historical Evolution ◽  
The Past ◽  
Current State ◽  
Comparative Review ◽  
History Of ◽  
Positive Experiences ◽  
Software Development Methodologies

We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of engineerings; history has also positive experiences; some of them we would like to remember and to repeat. Two types of engineerings had parallel and divergent evolutions but following a similar pattern. We also define a set of milestones that represent a convergence or divergence of the software development methodologies. These milestones do not appear at the same time in software engineering and knowledge engineering, so lessons learned in one discipline can help in the evolution of the other one.

Sovereign Wealth Fund Investments and Industry Performance

2017 ◽  
Author(s):  
Sophie Béreau ◽  
Jean-Yves Gnabo ◽  
Malik Kerkour ◽  
Hélène Raymond
Keyword(s):  
Stock Market ◽  
Instrumental Variables ◽  
Sovereign Wealth Funds ◽  
The Past ◽  
Conditional Effects ◽  
Industry Performance ◽  
Vast Literature ◽  
Volatility Regimes ◽  
Alternative Sources ◽  
Industrial Level

In the past decade, sovereign wealth funds (SWFs) have been very active in western economies with massive liquidity injections and numerous stakes in various strategic areas. While a vast literature has documented their influence on firms’ behavior and equity valuation, their impact on the whole economy has been largely unexplored. This chapter investigates the aggregate impact of SWFs’ investments at the industrial level. Using a panel of ten European countries from 2006 to 2012, a relevant instrumental variables strategy is used to circumvent potential double causality between returns of the recipient countries’ stock market indices and SWFs’ investments. The results show a positive and significant impact of SWFs’ investments for five sectoral indices out of ten. Looking at conditional effects, it does not find that this relationship is affected by either the availability of alternative sources of financing in the economy—consistent with the liquidity argument—or different volatility regimes.

scholarly journals Prediction of Stock Price using RNN’s LSTM-Based Deep Learning Model

2021 ◽  
Vol 9 (8) ◽  
pp. 2469-2474
Author(s):  
Asmita Pandey
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Stock Market ◽  
Time Series Analysis ◽  
Recurrent Neural Network ◽  
Stock Price ◽  
Listed Companies ◽  
Stock Market Prediction ◽  
The Past ◽  
The Future

Abstract: Stock Market is referred to as a trading platform where trading of listed companies share price is exchanged. It is a place where individuals can buy or sell shares of the publicly listed companies. The prediction of stock market that how it will perform, its movement is one of the challenging tasks to do. Stock market prediction involves determining the future movement of the stock value of a financial exchange. In this paper the prediction of the stock prices using deep learning's LSTM (Long Short-Term Memory) which is the extension of Recurrent Neural Network is done. The previous two years historical dataset from 31/7/2019 to 13/8/2021 is taken for the prediction purpose. The prediction is based on the time series analysis of data, since it can help us to get an idea of the stock price pattern and also it is considered to be the best tool for understanding the pattern of the previously observed values and make the predictions based on it. For a greater accuracy of the predictions, we should consider past happenings or events as the past affects the future. Since for stock market prediction the data will be in time series and LSTM performs well when the information or the data is of the past and the prediction is to be made for the future then we can say that LSTMs are quite capable of doing the prediction for the stock market values. Keywords: Stock Market, prediction, LSTM, Recurrent Neural Network, time series analysis

Determinants of Trading Decision: An Experiential Examination

GIS Business ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. 1-9
Author(s):  
Gunjan Sharma ◽  
Tarika Singh ◽  
Suvijna Awasthi
Keyword(s):  
Stock Market ◽  
Capital Markets ◽  
Capital Market ◽  
Capital Mobility ◽  
Influential Factors ◽  
Herd Behavior ◽  
Human Beings ◽  
The Past ◽  
The Government ◽  
Indian Stock Market

In the midst of increasing globalization, the past two decades have observed huge inflow of outside capital in the shape of direct and portfolio investment. The increase in capital mobility is due to contact between the different economies across the globe. The growing liberalization in the capital market leads to the growth of various financial products and services. Over the past decade, the Indian capital market has witnessed numerous changes in the direction of developing the capital markets more robust. With the growing Indian economy, the larger inflow of funds has been fetched into the capital markets. The government is continuously working on investor’s education in order to increase retail participation in the Indian stock market. The habits of the risk-averse middle class have been changing where these investors started participating in the Indian stock market. It is an explored fact that human beings are irrational and considering this fact becomes imperative to investigate factors that influence the trading decisions. In this research, ‘an attempt has been made to investigate various factors that affect the individual trading decision’. The data has been collected from various stockbroking firms and from clients of those stockbroking firms their opinions were recorded by means of a questionnaire. Data collected through the structured questionnaire, 33 questions were prepared which was given to the 330 respondents on the basis of convenience sampling out of which 220 individuals filled questionnaire, the total of 200 questionnaires was included in the study after eliminating the incomplete questionnaire. Various factors are being explored from the literature and then with the help of factor analysis some of the most influential factors have been explored. Factors like overconfidence, optimism, cognitive bias, herd behavior, advisory effect, and idealism are the factors which influenced the trading decision of the investors the most. Such kind of a study is contributing in the area of behavioral finance as a trading decision is an important aspect while investing in the stock market. And this kind of study would be helping and assisting financial advisors to strategies for their clients in making the right allocation and also the policy maker and market regulators to come up with better reforms for the Indian stock markets.

Current state and main directions of preservation and strengthening of health of the working population of Russia

2020 ◽  
pp. 527-532 ◽  
Author(s):  
I. V. Bukhtiyarov
Keyword(s):  
Working Conditions ◽  
Russian Federation ◽  
Production Environment ◽  
Working Population ◽  
Industrial Enterprises ◽  
The Past ◽  
Production Factors ◽  
Current State ◽  
The Russian Federation

The article presents the results of the analysis of health, working conditions and prevalence of adverse production factors, the structure of the detected occupational pathology in the working population of the Russian Federation. The article presents Statistical data on the dynamics of the share of workplaces of industrial enterprises that do not meet hygienic standards, occupational morbidity in 2015-2018 for the main groups of adverse factors of the production environment and the labor process. The indicators of occupational morbidity over the past 6 years in the context of the main types of economic activity, individual subjects of the Russian Federation, classes of working conditions, levels of specialized occupational health care. The role of the research Institute of occupational pathology and occupational pathology centers in solving organizational, methodological and practical tasks for the detection, treatment, rehabilitation and prevention of occupational diseases is shown. The basic directions of activity in the field of preservation and strengthening of health of workers, and also safety at a workplace are defined.

Impact of FII’s and FDI’s on Indian Stock Market

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Dr. Kamlesh Kumar Shukla
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Global Economy ◽  
Short Term ◽  
Earnings Growth ◽  
The Past ◽  
Bull Market ◽  
Indian Stock Market

FIIs are companies registered outside India. In the past four years there has been more than $41 trillion worth of FII funds invested in India. This has been one of the major reasons on the bull market witnessing unprecedented growth with the BSE Sensex rising 221% in absolute terms in this span. The present downfall of the market too is influenced as these FIIs are taking out some of their invested money. Though there is a lot of value in this market and fundamentally there is a lot of upside in it. For long-term value investors, there’s little because for worry but short term traders are adversely getting affected by the role of FIIs are playing at the present. Investors should not panic and should remain invested in sectors where underlying earnings growth has little to do with financial markets or global economy.

Phytochemical and Pharmacological Review on Two Herbs of Baijiangcao: Patrinia scabiosaefolia Fisch. ex Trev. and Patrinia villosa (Thunb.) Juss

2020 ◽  
Vol 17 (5) ◽  
pp. 496-517
Author(s):  
Yangcheng Liu ◽  
Wei Liu ◽  
Jiaqi Wang ◽  
Yang Liu ◽  
Changlan Chen ◽  
...  
Keyword(s):  
Chemical Constituents ◽  
Volatile Components ◽  
Research Papers ◽  
Pharmacological Activities ◽  
Comprehensive Review ◽  
Scientific Databases ◽  
The Past ◽  
Current State ◽  
Patrinia Scabiosaefolia ◽  
Antiviral Activities

Patrinia scabiosaefolia Fisch. Trev. and Patrinia villosa (Thunb.) Juss, are two species of Patrinia recorded in the Chinese Pharmacopoeia with the same Chinese name “Baijiangcao” and similar therapeutic effect in traditional Chinese medicine. The present article is the first comprehensive review on the chemical composition and pharmacological activities of these herbs. In this review, data on chemical constituents and pharmacological profile of the two herbs are provided. This review discusses all the classes of the 223 compounds (phenylpropanoids, flavonoids, terpenes, saponins and volatile components, etc.) detected in the two herbs providing information on the current state of knowledge of the phytochemicals present in them. In the past three years, our research group has isolated and identified about more than 100 ingredients from the two herbs. Therefore, we published a systematic review of our research papers and studies on the two herbs were carried out using resources such as classic books about Chinese herbal medicine and scientific databases including Pubmed, Web of Science, SciFinder, CNKI. etc. The present review discusses the most thoroughly studied pharmacological activities (antioxidant, anti-inflammatory, immunomodulatory, antimicrobial, antitumor and antiviral activities) of the two herbs. This comprehensive review will be informative for scientists searching for new properties of these herbs and will be important and significant for the discovery of bioactive compounds from the two herbs and in complete utilization of Patrinia scabiosaefolia Fisch. ex Trev. and Patrinia villosa (Thunb.) Juss.

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