Day 1 Tue, September 21, 2021最新文献_第5页

ASSESSMENT OF INDIVIDUAL AND INSTITUTIONAL INVESTOR’S INVESTMENT BEHAVIOR DURING COVID-19. A CASE OF EMERGING ECONOMY 新冠肺炎期间个人和机构投资者投资行为评估新兴经济体的一个例子

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-02

Sybert Mutereko, A. Hussain, A. Sohail

{"title":"ASSESSMENT OF INDIVIDUAL AND INSTITUTIONAL INVESTOR’S INVESTMENT BEHAVIOR DURING COVID-19. A CASE OF EMERGING ECONOMY","authors":"Sybert Mutereko, A. Hussain, A. Sohail","doi":"10.51380/gujr-37-03-02","DOIUrl":"https://doi.org/10.51380/gujr-37-03-02","url":null,"abstract":"In the study of stock investment in capital market by investors in Pandemic Covid-19, it is always carried out rationally. Indeed, the decisions on stock investments are not always rational.The main purpose of this research is to analyze the behavioral factors that affect the preferences of individual’s investors and fund managers in the emerging stock market, Pakistan Stock Exchange. The data of this research were collected through interviews semi structured with the five investor and five fund managers from the stock exchange from Pakistan. The researchers used thematic analysis for data interpretation. The major findings stress that retail investors are more effected by behavioral biases in comparison with fund managers. Further, the results shows that there are some major biases which are effecting both type of investors such as: Herding, Market, Prospect, Overconfidence- gambling errors and Anchoring-ability bias. This study fills a gap in literature on investor psychological response during pandemic epidemic. According to the report, policymakers should devise a strategy to combat COVID-19. To avoid future catastrophes, government should control the health-care budget.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82273909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DO BIG-5 PERSONALITY TRAITS CONTRIBUTE TO EMPLOYEES PERFORMANCE? AN EMPIRICAL EVIDENCE FROM HEIs IN PAKISTAN 大五种人格特征对员工绩效有影响吗?来自巴基斯坦高等教育的经验证据

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-01

Robina Akhtar, Mohamad Nizam Nazarudin, G. Kundi

引用次数: 0

THE LIGHT TRIAD TRAITS, PSYCHOLOGICAL EMPOWERMENT, CREATIVE SELF-EFFICACY, SELF-RESILIENCE AND INNOVATIVE PERFORMANCE IN ICT OF PAKISTAN 巴基斯坦信息通信技术人员的光三合一特征、心理赋权、创造性自我效能、自我弹性与创新绩效

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-05

I. Khan, Umar Safdar, Zohair Durrani

{"title":"THE LIGHT TRIAD TRAITS, PSYCHOLOGICAL EMPOWERMENT, CREATIVE SELF-EFFICACY, SELF-RESILIENCE AND INNOVATIVE PERFORMANCE IN ICT OF PAKISTAN","authors":"I. Khan, Umar Safdar, Zohair Durrani","doi":"10.51380/gujr-37-03-05","DOIUrl":"https://doi.org/10.51380/gujr-37-03-05","url":null,"abstract":"This study analyses how the Information & Communication Technology sector of managers having light triad traits (altruism, empathy, compassion) associates employee innovative performance through creative self-efficacy, Self-Resilience, and psychological empowerment. This study used pro social trait theory for Light triad traits of managers and employees' perspectives to broaden and build an approach. This study hypothesized a relationship amid Light triad traits, creative self-efficacy, self-resilience and psychological empowerment, which affects the innovative performance of employee. Light triad traits have most substantial positive relationship with innovative performance when employees have high levels of the self-resilience and creative self-efficacy. The psychological empowerment mediates relationship between the Light triad traits and innovative employee performance. Data was collected in total from 650 employees, 500 employees (followers) in which they rated their managers (leaders) and after 1 week, 150 managers (leaders) rated their employee's performance and generated results to support our study hypotheses.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72774628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model 基于LSTM机器学习模型的逻辑回归准确预测比特币价格

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.36548/jscp.2021.3.006

H. Andi

{"title":"An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model","authors":"H. Andi","doi":"10.36548/jscp.2021.3.006","DOIUrl":"https://doi.org/10.36548/jscp.2021.3.006","url":null,"abstract":"In recent years, there has been an increase in demand for machine learning and AI-assisted trading. To extract abnormal profits from the bitcoin market, the machine learning and artificial intelligence (AI) assisted trading process has been used. Each day, the data gets saved for the specified amount of time. These approaches produce great results when integrated with cutting-edge algorithms. The results of algorithms and architectural structures drive the development of cryptocurrency market. The unprecedented increase in market capitalization has enabled the cryptocurrency to flourish in 2017. Currently, the market accommodates totally 1500 cryptocurrencies, all of which are actively trading. It is always possible to mine the cryptocurrency and use it to pay for online purchases. The proposed research study is more focused on leveraging the accurate forecast of bitcoin prices via the normalization of a particular dataset. With the use of LSTM machine learning, this dataset has been trained to deploy a more accurate forecast of the bitcoin price. Furthermore, this research work has evaluated different machine learning methods and found that the suggested work delivers better results. Based on the resultant findings, the accuracy, recall, precision, and sensitivity of the test has been calculated.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76336072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 41

TEACHERS PERCEPTION ABOUT PROCESS OF TEACHER EVALUATION: A CASE STUDY OF A PRIVATE UNIVERSITY OF LAHORE 教师对教师评价过程的感知:以拉合尔私立大学为例

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-09

Shahid Rafiq, Shahzada Qaisar

引用次数: 3

Stochastic Geometry and Performance Analysis of Large Scale Wireless Networks 大规模无线网络的随机几何与性能分析

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.36548/jtcsst.2021.3.001

J. Chen, Kong-Long Lai

引用次数: 4

AN INVESTIGATION ON ROLE OF STRESS ON ACADEMIC PERFORMANCE OF STUDENTS 压力对学生学习成绩影响的调查

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-04

Y. H. Mughal

{"title":"AN INVESTIGATION ON ROLE OF STRESS ON ACADEMIC PERFORMANCE OF STUDENTS","authors":"Y. H. Mughal","doi":"10.51380/gujr-37-03-04","DOIUrl":"https://doi.org/10.51380/gujr-37-03-04","url":null,"abstract":"The purpose of the study is to investigate the role of stress upon academic performance of students. Stress is faced by each individual in academic, professional as well as daily routine life. The current study has identified different sources of stress which might be controlled to enhance academic performance of students. For this purpose cross-sectional design survey approach was conducted from two different universities from the different faculties. The development of scientific knowledge in current study is based on the positivism philosophy. The non probability convenience sampling technique was used. Population of the study was students from public and private universities. 210 students have participated in the study. Cronbach alpha, correlation and regression were used for analysis of data. SPSS 25 was used. Findings of study revealed that scale adopted from past studies was found reliable and there is significant positive relationship between factors of stress and academic performance of students. It was also found that academic factors were most dominant factors which played significant role in affecting students’ performance. This study is original contribution and has extended the body of knowledge of stress and student academic performance.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77175019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PUSH AND PULL FACTORS OF NEGATIVE SOCIAL BEHAVIOURS AMONG SECONDARY SCHOOL STUDENTS 中学生负性社会行为的推拉因素

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-06

Syed Zubair Haider, Uzma Munawar, Shaista Noreen

引用次数: 0

AN INVESTIGATION ON COVID-19 CONSPIRACY THEORY BELIEFS AMONGST PAKISTANI MUSLIMS 对巴基斯坦穆斯林新冠肺炎阴谋论信仰的调查

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-10

Mujeeba Ashraf

引用次数: 0

Construction of LWCNN Framework and its Application to Pedestrian Detection with Segmentation Process LWCNN框架的构建及其在行人分割检测中的应用

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.36548/jiip.2021.3.008

R. Kanthavel

引用次数: 0