scholarly journals Discovery News: A Generic Framework for Financial News Recommendation

2020 ◽  
Vol 34 (08) ◽  
pp. 13390-13395
Author(s):  
Chong Wang ◽  
Lisa Kim ◽  
Grace Bang ◽  
Himani Singh ◽  
Russell Kociuba ◽  
...  
Keyword(s):  
Recommender System ◽  
Financial Services ◽  
Review Process ◽  
Financial Analysis ◽  
Financial Data ◽  
Financial News ◽  
Generic Framework ◽  
Global Ratings ◽  
News Recommendation ◽  
Manual Review

In the financial services industry, it is crucial for analysts to constantly monitor and stay informed on the latest developments of their portfolio of companies. This ensures that analysts are up-to-date in their analysis and provide highly credible and timely insights. Currently, analysts receive news alerts through manually created news alert subscriptions that are often noisy and difficult to manage. The manual review process is time-consuming and error-prone. We demonstrate Discovery News, a framework for an automated news recommender system for financial analysis at S&P's Global Ratings. This system includes the automated ingestion, relevancy, clustering, and ranking of news. The proposed framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

scholarly journals Language models for financial news recommendation

2000 ◽  
Author(s):  
Victor Lavrenko ◽  
Matt Schmill ◽  
Dawn Lawrie ◽  
Paul Ogilvie ◽  
David Jensen ◽  
...  
Keyword(s):  
Language Models ◽  
Financial News ◽  
News Recommendation

Economic Performance Assessment Model for Industrial Systems: A Case Study

2015 ◽  
Vol 760 ◽  
pp. 683-688
Author(s):  
Flavia Fechete ◽  
Anișor Nedelcu
Keyword(s):  
Economic Performance ◽  
Diagnostic Performance ◽  
Financial Analysis ◽  
Balance Sheet ◽  
Financial Data ◽  
Assessment Model ◽  
Industrial Systems ◽  
Future Developments ◽  
A Company

Performance a nalysis of an organization has a major role in setting t he strategy followed especially during the financial crisis. In what follows we performed a financial analysis, based on data from the balance sheet and profit and loss account of a company that produces and sells crystal sugar, using a system of indicators that are relevant. Using the results of this economic analysis we can draw certain conclusions according to which can forecast future developments. I tried to use a number of indicators of a system that defines, in the end, a model for analyzing the economic performance of a compa ny. The research focused on the application of the diagnostic performance of agreed financial data recorded by that company.

scholarly journals A Framework for Development of Recommender System for Financial Data Analysis

2017 ◽  
Vol 9 (5) ◽  
pp. 18-27
Author(s):  
Pradeep Kumar M. Kanaujia ◽  
◽  
Manjusha Pandey ◽  
Siddharth Swarup Rautaray
Keyword(s):  
Data Analysis ◽  
Recommender System ◽  
Financial Data ◽  
Financial Data Analysis

scholarly journals Incorporating popularity in a personalized news recommender system

2016 ◽  
Vol 2 ◽  
pp. e63 ◽  
Author(s):  
Nirmal Jonnalagedda ◽  
Susan Gauch ◽  
Kevin Labille ◽  
Sultan Alfarhood
Keyword(s):  
Recommender Systems ◽  
Recommender System ◽  
Recommendation System ◽  
User Profile ◽  
Online News ◽  
User Interests ◽  
News Sources ◽  
Enormous Amount ◽  
News Recommendation

Online news reading has become a widely popular way to read news articles from news sources around the globe. With the enormous amount of news articles available, users are easily overwhelmed by information of little interest to them. News recommender systems help users manage this flood by recommending articles based on user interests rather than presenting articles in order of their occurrence. We present our research on developing personalized news recommendation system with the help of a popular micro-blogging service, “Twitter.” News articles are ranked based on the popularity of the article identified from Twitter’s public timeline. In addition, users construct profiles based on their interests and news articles are also ranked based on their match to the user profile. By integrating these two approaches, we present a hybrid news recommendation model that recommends interesting news articles to the user based on their popularity as well as their relevance to the user profile.

THE LEVEL OF OPERATING SURPLUS IN THE ASSESSMENT OF FINANCIAL CONDITION OF LOCAL GOVERNMENT UNITS IN THE LUBELSKIE PROVINCE

2018 ◽  
Vol XX (5) ◽  
pp. 42-47
Author(s):  
Agnieszka Cyburt ◽  
Agnieszka Gałecka
Keyword(s):  
Local Government ◽  
Reporting System ◽  
Financial Analysis ◽  
Balance Sheet ◽  
Financial Data ◽  
Average Level ◽  
Financial Condition ◽  
Descriptive Method ◽  
Operating Surplus

The main objective of the study was to assess the level of operating surplus (free funds in the balance sheet) of all LGUs in the Lubelskie province in the period 2014-2016. The study uses elements of financial analysis, including a descriptive method. Financial data came from the Bestia reporting system. It was found that the level of operating surplus increased in this period. In the audited period in Poland, the number of units that showed a surplus in the budget nearly doubled (in 2014 there were 1,358, while in 2016 – 2,245). The amount of surplus generated by local government units in the period 2014-2016 increased from over 3.6 billion PLN to nearly 8.7 billion PLN. In addition in the Lubelskie province decreased the number of local government units, which did not obtain an operating surplus, and its average level increased.

The use of online social networking sites to nurture and cultivate bonding social capital: A systematic review of the literature from 1997 to 2018

2019 ◽  
Vol 21 (11-12) ◽  
pp. 2710-2729 ◽  
Author(s):  
Joshua R. Williams
Keyword(s):  
Systematic Review ◽  
Social Capital ◽  
Social Networking ◽  
Social Networking Sites ◽  
Review Process ◽  
Research Question ◽  
Online Social Networking ◽  
Review Of The Literature ◽  
Bonding Social Capital ◽  
Manual Review

Any social phenomenon with more than a billion participants daily is ripe for investigation into the implications of social capital. This research conducts a systematic review of the peer-reviewed literature and conference material published between 1 January 1997 and 31 March 2018 regarding the question, can the use of online social networking sites cultivate and nurture an individual’s bonding social capital? The systematic review using EBSCOhost, EndNote, and final manual review process has aggregated 54 articles containing 116 distinct studies resulting in 85 answering in the affirmative to the research question. These studies are coded into a 13-category framework to provide a roadmap to future researchers. The results are wide and varied providing data from large and small groups. Generalization of the results supports the research question in that individual bonding social capital can be cultivated and nurtured via use of online social networking sites.

scholarly journals Marketability of Sant Jordi Meat Corner

1970 ◽  
Vol 2 (2) ◽  
pp. 193
Author(s):  
Dominique Marie L. Schulze
Keyword(s):  
Research Design ◽  
Financial Analysis ◽  
Descriptive Statistics ◽  
Financial Data ◽  
Marketing Plan ◽  
Survey Questionnaire ◽  
Descriptive Research ◽  
Financial Position ◽  
Competitor Analysis

Sant Jordi Meat Corner (SJMC) is a charcuterie and specialty butcher meat shop in Bacolod City, Philippines. Using a descriptive research design, this study assessed the marketability of SJMC as a basis for a marketing plan. The data were gathered using a survey questionnaire that was answered by the owners and clients, competitor analysis chart, and store visits to SJMC’s competitors. Available financial data of the company were also utilized to assess the financial position of the company. Utilizing descriptive statistics, the findings showed that products and price were rated highest, while promotion and process, and place were rated lowest. In the Competitive Profile Matrix, SJMC ranked third among the four meat shops. The financial analysis also showed that SJMC is profitable, liquid, and solvent. Thus, SJMC is marketable.  It is recommended that SJMC may innovate its products and services, offering newer features or add-on services.

scholarly journals The Significance of Financial Analysis Methods in the Rationalization of Investment Decisions in Stock Market – The Case of Khartoum Stock Exchange, During the Period from 2014  to 2018 –: أهمية استخدام أساليب التحليل المالي في ترشيد قرارات الاستثمار في سوق الأوراق المالية – دراسة حالة سوق الخرطوم للأوراق المالية خلال الفترة 2014 - 2018 –

2020 ◽  
Vol 4 (10) ◽  
Author(s):  
Mustafa Mohammed Zain, Asim Hassan Mohammed
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Financial Analysis ◽  
Stock Exchange ◽  
Investment Decisions ◽  
Financial Statements ◽  
Financial Data ◽  
Descriptive Approach

This research aimed primarily to clarify the extent of the significance of financial analysis tools in the rationalization of investors’ decisions in the Khartoum Stock Exchange. This is, however, will be effected by identifying the role of financial analysis using financial ratios to provide information to make a sound decision. To achieve this objective, the research used the analytical descriptive approach, since the same conforms to such types of researches. To affect this, the research relied basically on the annual financial data of the case study. Based on said account, the research has reached a number of findings, the most significant of which, are the following: The utilization of trend analysis reporting in the Khartoum Stock Exchange has a great significance in the performance evaluation of the stock market. The liquidity ratios as a tool for financial statements analysis deemed as a perfect indicator in the process of decision making in the stock market. The debt ratios are the most significant tools in the financial analysis of the published financial statements, which help investors to take sound investment decisions.

scholarly journals INVESTIGATION OF BANKRUPTCY INSURANCE OF THE INSURANCE COMPANY

2021 ◽  
Author(s):  
Liliya Ignatovich
Keyword(s):  
Financial Services ◽  
Financial Stability ◽  
Financial Analysis ◽  
Objective Assessment ◽  
Insurance Market ◽  
Insurance Companies ◽  
Insurance Company ◽  
Accurate Analysis ◽  
Advantages And Disadvantages ◽  
Probability Of Bankruptcy

The analysis of probability of bankruptcy is one of directions of financial analysis, and the general purpose of financial analysis – rendering assistance in development of reasonable and effective administrative decisions. The analysis is important for all subjects of the insurance market, including the National Bank of Ukraine, as the regulator of the financial services market, which is interested in the financial stability of the insurance market. Especially, if in recent years there has been a tendency to reduce the number of insurers. The bankruptcy probability assessment may be carried out by the management of the company itself to identify weaknesses and prevent bankruptcy. There is great interest in methods that allow assessing the probability of bankruptcy in advance, predicting the onset of financial insolvency of the organization. Analysis of the likelihood of bankruptcy allows the company to obtain an objective assessment of its activities, can adjust it in the right direction by taking prompt or preventive measures. The aim of the research is to determine the probability of bankruptcy of the insurance company, by the example of ALC “IC “Motor-Garant”” on the basis of foreign and domestic models, such as Taffler-Tishaw, Springate, A.P. Zaitseva. Analysis of the likelihood of bankruptcy by several methods will be carried out on the basis of the data reflected in the company’s financial statements. These models are considered to determine the probability of bankruptcy of the insurance company, determining their main advantages and disadvantages, as well as the possibility of their use in practice. It is proved, that the estimation of probability of bankruptcy of insurance companies in modern conditions of doing business allows to define the real situation of the insurer in the market and to reveal critical moments in activity. As a matter of fact, the earth models were started for the old enterprises, but is it the land has its own specifics. However, one should take into account that all forecasting methods have their limitations and inaccuracies. For the most complete and accurate analysis it is recommended to rely on the results of three or more different models.

scholarly journals LSTM-BASED AUTOMATED LEARNING WITH SMART DATA TO IMPROVE MARKETING FRAUD DETECTION AND FINANCIAL FORECASTING

2021 ◽  
Author(s):  
Zair Bouzidi ◽  
◽  
Abdelmalek Boudries ◽  
Mourad Amad ◽  
◽  
...  
Keyword(s):  
Financial Services ◽  
Short Term Memory ◽  
Financial Data ◽  
Business Strategies ◽  
Multiple Sources ◽  
Corporate Marketing ◽  
Search Results ◽  
Proposed Model ◽  
Deep Recurrent Neural Network ◽  
Smart Data

This proposed model is based on a deep recurrent neural network trained with Long Short- Term Memory Network (LSTM), used because of its ability to learn long term dependencies, taking the concatenated function and Financial data as input, while integrating encapsulations, using Smart Data and retrieving information by combining multiple search results (all the Web). It combines representation training with financial data while integrating encapsulations from multiple sources and retrieving information by combining multiple search results. It provides some good ideas that we have extended to improve Corporate Marketing and Business Strategies. We show that the proposed model learns to localize and recognize different aspects of Corporate Marketing and Business Strategies. We evaluate it on the challenging task of detecting Fraud in Financial Services and Financial Time Series Forecasting and show that it is more accurate than the state-of-the-art of other neural networks and that it uses fewer parameters and less computation.

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