scholarly journals Determinant of Stock Market Prices in Nepal: A Case of Commercial Banks

2021 ◽  
Vol 12 (2) ◽  
pp. 1
Author(s):  
Sudip Wagle
Keyword(s):  
Stock Market ◽  
Commercial Banks ◽  
Stock Price ◽  
Market Price ◽  
Positive Association ◽  
Annual Reports ◽  
Secondary Source ◽  
Significant Positive Association ◽  
The Government ◽  
Price Instability

<p>Equity share investment is one of the key investment paths that provide significant returns for investors but, unusual stock price instability makes confusion for them, as well as troubles for policymakers and the government authorities. This study aims to identify the empirical variables that influence the stock market price in commercial banks for 2015/16 to 2019/20 using a set of dependent and independent variables. The study is based on 130 observations from 26 commercial banks (out of 27) in Nepal using a secondary source and the information obtained from annual reports. The descriptive and causal-comparative research design was employed. For that, mean, standard deviation, correlation and regression analysis techniques have been used. The results revealed that Market to Book proportion (M/B), Price-earnings proportion (P/E) and Earning Yield proportion (E/Y) have a significant positive association with the stock market price. In contrast, the Dividend Yield proportion (D/Y) has a positive but insignificant impact on the stock market price. The finding of this study is valuable to the curious investors, concerned bankers, academicians and government authorities, which help them to more about the stock market’s returns and likelihood in the country.</p>

scholarly journals Influencing Factors of Stock Price in Nepal

NCC Journal ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 113-120
Author(s):  
Krishna Bahadur Thapa
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Influencing Factors ◽  
Stock Price ◽  
Stock Exchange ◽  
Positive Association ◽  
Share Price ◽  
Financial Statement ◽  
Inverse Association ◽  
Significant Positive Association

This paper explores the influencing factors of stock price in Nepal (with reference to Nepalese commercial banks) listed on the Nepal Stock Exchange Ltd. over the period of 2008 to 2018AD. The information were collected from questionnaire and financial statement of concerned organizations and analyzed using simple linear regression model. The conclusions of the work revealed that earning per share (EPS), dividend per share (DPS), effective rules and regulations, market whims and rumors, company profiles and success depend upon luck have the significant positive association with share price while interest rate (IR) and price to earnings ratio (PER), showed the significant inverse association with share price. Further, accessibility of liquidity, fundamental and technical analysis stimulates the performance of the Nepalese stock market. More importantly, stock market has been found to respond significantly to changes in dividend and interest rate.

scholarly journals Determinants of Share Price of Nepalese Commercial Banks

2016 ◽  
pp. 187-198 ◽  
Author(s):  
Yuga Raj Bhattarai
Keyword(s):  
Commercial Banks ◽  
Stock Exchange ◽  
Positive Association ◽  
Share Price ◽  
Annual Reports ◽  
Inverse Association ◽  
Dividend Yield ◽  
Significant Positive Association ◽  
Price Earnings Ratio ◽  
Economic Journal

This study examines the determinants of share price of commercial banks listed on the Nepal Stock Exchange Limited over the period of 2006 to 2014. Data were sourced from the annual reports of the sampled banks and analyzed using regression model. The results revealed that earning per share and price- earnings ratios have the significant positive association with share price while dividend yield showed the significant inverse association with share price. The major conclusion of the study is that dividend yield, earning per share and price-earnings ratio are the most influencing factors in determining share price in Nepalese commercial banks. Economic Journal of Development Issues Vol. 17 & 18 No. 1-2 (2014) Combined Issue,Page: 187-198

scholarly journals Mergers and acquisitions in Jordan: Its motives and influence on company financial performance and stock market price

2019 ◽  
Vol 16 (2) ◽  
pp. 67-72 ◽  
Author(s):  
Osama Samih Shaban ◽  
Zaid Al-hawatmah ◽  
Ahmad Adel Abdallah
Keyword(s):  
Stock Market ◽  
Financial Performance ◽  
Stock Price ◽  
Market Price ◽  
Annual Reports ◽  
Business Trend ◽  
Earnings Per Share ◽  
Employee Resistance ◽  
Price Earnings Ratio ◽  
Return Method

This research paper focuses on recent business trend in Jordan which attracted us as researchers to investigate Merger & Acquisition’s ability to create and realize more value than the parties can alone, and whether the value earned by the merged firms have motivated them to contribute to the combination. The method used to analyze post-merger financial performance was carried out by adopting the accounting return method and the stock price method, which measures and observes the stock market price in terms of market value, earnings per share (EPS), and price earnings ratio (P/E) of the merged firms. Analyzing the annual reports of the two Jordanian banks, the study concluded that the ratio analysis of AJIB and Safwa Bank show different trends after Merger & Acquisition. Our analysis shows decreasing values in the first two years after the acquisition, but gradually increasing values in subsequent years. The study concluded that the fluctuation of results may be attributed to the difficulties in managing the increased volume of assets after the merger as well as to non-financial reasons such as the human behavior of the employee resistance after the acquisition, where the employees of the acquired firm consider merger as a hostile takeover.

scholarly journals Fundamentals of Stock Price in Nepalese commercial banks

2019 ◽  
Vol 4 ◽  
pp. 83-98
Author(s):  
Prem Prasad Silwal ◽  
Samrina Napit
Keyword(s):  
Commercial Banks ◽  
Stock Price ◽  
Stock Exchange ◽  
Market Price ◽  
Negative Relationship ◽  
Influential Factor ◽  
Share Price ◽  
Cross Sectional ◽  
Book Value ◽  
Price Earnings Ratio

The aim of this study is to ascertain the determinants of the stock market price in Nepalese commercial banks for the period of 2065/66 to 2074/75. It is based on pooled cross-sectional data of ten banks for 10 years whose stocks are listed in Nepal stock exchange. The study employed correlational and causal comparative research design and result reveals that book value per share, price earnings ratio, return on equity have positive relationship with stock price. Dividend yield has positive but minimum influence on the price of the stock whereas size has negative relationship and is statistically insignificant with stock price. Further, it reveals that book value per share is a most influential factor that determines stock price in Nepal.

scholarly journals Does banking sector performance promote economic growth? Case study of Jordanian commercial banks

2017 ◽  
Vol 15 (2) ◽  
pp. 55-64 ◽  
Author(s):  
Ayman Mansour Khalaf Alkhazaleh
Keyword(s):  
Economic Growth ◽  
Commercial Banks ◽  
Banking Sector ◽  
Positive Association ◽  
Political Stability ◽  
Commercial Banking ◽  
Least Square ◽  
Bank Performance ◽  
Significant Positive Association ◽  
Ordinary Least Square

Spurred by the need to evade possible parameter bias associated with earlier works, this study intended to address the subject of whether performance of commercial banking contributes to economic growth. With the aim of answering this question, the present review concentrates on analyzing the association between profitability, deposit and credit facilities as proxy for performance of commercial banks while gross domestic product proxies economic growth. The population of the study is characterized by the Jordanian banking industry; the study enclosed a period of six years from 2010 to 2015 constructed on the annual report of thirteen chosen banks. Using Ordinary Least Square, the regression outcomes found a significant positive association between measures of bank performance and economic growth. Findings demonstrate that measures of bank performance in particular profitability deposits credits have positive relationship with economic growth as measured by GDP. The empirical results suggest that the policy creators should make arrangements to augment and prompt the banking sector in Jordan on account of its key significance in making and advancing development of the economy. It additionally can be inferred that not only commercial banking performance but also other movables such as political stability and technology may assume essential part in the economic prosperity in Jordan.

scholarly journals Youth Political Participation, Good Governance and Social Inclusion in Nigeria: Evidence from Nairaland

2021 ◽  
Vol 13 (2) ◽  
pp. 1-13
Author(s):  
Tope Shola Akinyetun
Keyword(s):  
Political Participation ◽  
Social Networking Sites ◽  
Social Inclusion ◽  
Good Governance ◽  
Positive Association ◽  
Study Data ◽  
Lower Percentage ◽  
Significant Positive Association ◽  
Online Leadership ◽  
The Government

As the Nigerian population continues to increase, so does the number of youth. The population of youth (18-35 years) in Nigeria is 52.2 million (i.e. about 28% of total population) and more than the entire population of Ghana, London and Benin Republic put together. In spite of the prospects that this number holds, young people in Nigeria are largely marginalized from governance, leaving them helpless to counter their continued exclusion. This is evidenced by the lower percentage of youth that hold political and leadership positions in the country. The purpose of this study was to examine the relationship between youth political participation, good governance, and social inclusion in Nigeria. Using a quantitative approach, 1,208 youth aged 18-35, selected from Nairaland, participated in the study. Data gathered was analyzed with Spearman Correlation Coefficient and the result indicates that there is significant positive relationship between youth political participation and good governance in Nigeria (r s, (1206) = .615, p < .001) and that there is significant positive association between youth political participation and social inclusion in Nigeria (r s, (1206) = .875, p < .001). It was recommended that the government should create Leadership and Democratic Institutes [LDI] across the states of the Federation and establish an Online Leadership Orientation Agency [OLOA] to utilize various social networking sites to provide free leadership courses, webinars, and orientation on the art of governance and the promotion of social inclusion among youth.

scholarly journals Targeted Sentiments and Hierarchical Events based Learning Model for Stock Market Forecasting from Multi-Source Data

2020 ◽  
Vol 9 (4) ◽  
pp. 1763-1770
Keyword(s):  
Stock Market ◽  
Sentiment Analysis ◽  
Stock Price ◽  
Market Price ◽  
Movement Patterns ◽  
Event Extraction ◽  
Spotted Hyena ◽  
Price Movement ◽  
Training Time ◽  
Source Data

Stock market price movement forecast from multi-source data has gained massive interest in recent years. Studies were focussed on extracting the events and sentiments from different source data and employ them in learning the stock price movement patterns. This approach provided accurate and highly reliable forecasting as it involves multiple stock price indicators. However, some aspects of sentiment analysis and event extraction increase the training time and computation complexity in big data stock analysis. To overcome these issues, the hierarchical event extraction and the target dependent sentiment analysis are performed in this paper to improve the learning rate stock price movement patterns. In this paper, the events are hierarchically extracted from news articles using Deep Restricted Boltzmann Machine (DRBM). The target based sentiments from the tweets are detected using Improved Extreme Learning machine (IELM) whose parameters are optimally selected using Spotted Hyena Optimizer (SHO). The stock indicators obtained from these two processes are used in the learning process performed using Tolerant Flexible Multi-Agent Deep Reinforcement Learning (TFMA-DRL) model for analysing the stock patterns and forecasting the future stock trends. The forecasting results obtained by using the TFMA-DRL model by combining the stock indicators of targeted sentiments and hierarchical events are trustworthy and reliable. Evaluations are performed using three datasets collected for 12 months period from three sources of Twitter, Market News and Stock exchange. Results highlighted that the proposed stock forecasting model achieved 90% accuracy with minimum training time.

scholarly journals Stock Market Prediction Using Twitter Sentiment Analysis

2021 ◽  
pp. 265-270
Author(s):  
Padmanayana ◽  
Varsha ◽  
Bhavya K
Keyword(s):  
Stock Market ◽  
Sentiment Analysis ◽  
Stock Price ◽  
Market Price ◽  
Future Price ◽  
Stock Market Prediction ◽  
Stock Price Prediction ◽  
Price Prediction ◽  
Media Platform ◽  
The Impact

Stock market prediction is an important topic in ?nancial engineering especially since new techniques and approaches on this matter are gaining value constantly. In this project, we investigate the impact of sentiment expressed through Twitter tweets on stock price prediction. Twitter is the social media platform which provides a free platform for each individual to express their thoughts publicly. Specifically, we fetch the live twitter tweets of the particular company using the API. All the stop words, special characters are extracted from the dataset. The filtered data is used for sentiment analysis using Naïve bayes classifier. Thus, the tweets are classified into positive, negative and neutral tweets. To predict the stock price, the stock dataset is fetched from yahoo finance API. The stock data along with the tweets data are given as input to the machine learning model to obtain the result. XGBoost classifier is used as a model to predict the stock market price. The obtained prediction value is compared with the actual stock market value. The effectiveness of the proposed project on stock price prediction is demonstrated through experiments on several companies like Apple, Amazon, Microsoft using live twitter data and daily stock data. The goal of the project is to use historical stock data in conjunction with sentiment analysis of news headlines and Twitter posts, to predict the future price of a stock of interest. The headlines were obtained by scraping the website, FinViz, while tweets were taken using Tweepy. Both were analyzed using the Vader Sentiment Analyzer.

scholarly journals Social and Environmental Disclosure in the Annual Reports of Jordanian Companies

2008 ◽  
Vol 2 (2) ◽  
pp. 198 ◽  
Author(s):  
Ku Nor Izah Ku Ismail ◽  
Abdul Hadi Ibrahim
Keyword(s):  
Human Resource ◽  
Community Involvement ◽  
Positive Association ◽  
Environmental Issues ◽  
Developed Countries ◽  
Annual Reports ◽  
Government Ownership ◽  
Environmental Disclosure ◽  
Significant Positive Association ◽  
Social And Environmental Disclosure

Recently, much attention has been devoted by researchers to study social and environmental disclosure among corporations. Most of the studies were conducted in developed countries, with only a handful being undertaken in developing countries. This study aims to investigate the extent of social and environmental disclosure in the annual reports of Jordanian companies and examine if the level of disclosure is influenced by size of firm, government ownership and industry. In particular, disclosure with regard to environmental issues, community involvement<br />and human resource are examined. Using a sample of 60 companies in the manufacturing and service sectors, content analysis is used to measure the level of disclosure. The findings indicate that 85% of the companies somehow disclose social and environmental information. Human resource is the most disclosed theme while the environmental issue had the lowest<br />disclosure among the companies. In addition, a significant positive association is found between company size and social and environmental<br />disclosure, and companies with high government ownership tend to have a<br />lower level of disclosure compared to companies with low government ownership. On the overall, no significant relationship was found between<br />industry type and the level of social and environmental disclosure. However, when only environmental issues are examined, manufacturing<br />companies tend to disclose more of the items compared to service  companies.<br /><br /><br /><br /><br />

scholarly journals FOURIER ANALYSIS FOR STOCK PRICE FORECASTING: ASSUMPTION AND EVIDENCE

2016 ◽  
Vol 17 (3) ◽  
pp. 365-380 ◽  
Author(s):  
Bohumil STÁDNÍK ◽  
Jurgita RAUDELIŪNIENĖ ◽  
Vida DAVIDAVIČIENĖ
Keyword(s):  
Stock Market ◽  
Fourier Analysis ◽  
Stock Price ◽  
Market Price ◽  
Theoretical Background ◽  
Data Series ◽  
Price Forecasting ◽  
Similar Data ◽  
Price Series ◽  
Momentum Trading

The research addressed the relevant question whether the Fourier analysis really provides practical value for investors forecasting stock market price. To answer this question, the significant cycles were discovered using the Fourier analysis inside the price series of US stocks; then, the simulation of an agent buying and selling on minima and maxima of these cycles was made. The results were then compared to those of an agent operating chaotically. Moreover, the existing significant cycles were found using more precise methods, suggested in the research, and based on the results of an agent buying and selling on all possible periods and phases. It has been analysed whether these really existing cycles were in accordance with the significant cycles resulting from the Fourier analysis. It has been concluded that the Fourier analysis basically failed. Suchlike failures are expected on similar data series. In addition, momentum and level trading backtests have been used in a similar way. It has been found that the level trading does provide a certain practical value in comparison to the momentum trading method. The research also simplifies the complicated theoretical background for practitioners.

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