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Research Paper

Difference between behavioral finance and traditional finance

Global financial markets are leveraged by many factors: The process of economic which takes place in the world, institutional and political hampering, information disperses and attainability, etc. In behavioral finance people’s reactions, as well as perception, are one of the most significant factors. Not only institutional investors but also individual investors who have been investing in financial markets in recent decades have become more popular. Short-term price changes are influenced by market participants that are not always based on logic, sometimes they can be inspired by mood or instant news. That is why Investing decision depends on the object and its financial status in the future. Whereas In traditional finance experts find out financial locus admired not by the error-prone and emotional Homo sapiens, but by the stunning Homo economicus. Behavior finance models always depend on a concept of independent investors who are susceptible to judgment and decision-making fallacy. This article issues a brief introduction on behavioral finance, which encircle research that drops the traditional premise of expected efficient markets.

Published by: Anuj Vijay Kale, Abhijeet Kashinath Takawale, Omkar Prakash Phadtare

Author: Anuj Vijay Kale

Paper ID: V7I6-1190

Paper Status: published

Published: November 22, 2021

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Research Paper

Analysis of stock market crash during COVID -19

The Coronavirus pandemic has been observed to have had a dramatic impact on the Stock market and financial sectors all over the world. The pandemic has severely affected economies and the stock market in many emerging countries and continues to do so. There has been a sudden unprecedented dip which has adversely affected investors in only a short time. This paper aims to analyze and understand the effects of Covid 19 on the stock market and the global economy. The spillover of the pandemic in various sectors like banking, entertainment, health, education is deeply studied and reviewed. The research method used in the paper is a systematic literature review of the research with the cluster of keywords identified as the central objective. The paper aims to understand the different scenarios of the stock market and how it crashed during the pandemic.

Published by: Samaksh Khandelwal

Author: Samaksh Khandelwal

Paper ID: V7I6-1200

Paper Status: published

Published: November 18, 2021

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Research Paper

Study of self drug administration among 2nd professional medical students

Background Self-medication is very common in our day to day life which is an unhealthy and risky practice. Present study was done to determine the knowledge, attitude and practice among 2nd Professional medical students of RIMS, Ranchi, Jharkhand. Material & Methods A questionnaire related to self-medication with consent was prepared and distributed among the students of 2nd Professional. Data was collected and analysed the results expressed as counts and percentages. Results Total 50 students participated in the study for taking self-medication and was no need to visit the doctor for minor illness. In maximum students, source of information of the drugs used for self-medication pharmacological based and learning process in the college. The source of drug was medical store. Most of the students took self-medication for loose motion & headache followed by cough, cold & fever. Out of total 50 students most of the students took paracetamol tablet as self-medication. Conclusion This study showed that third professional medical students after they studied pharmacological books they do not use any wrong medicine as self-medication. High level of awareness of 2nd Professional students has minimized self medication. Key words- Self-medication, Questionnaire, 2nd Professional.

Published by: Dr. Hansraj Kumar, Dr. Uma Shankar Kesari, Dr. Akash Chandra, Dr. Rajiv Kumar

Author: Dr. Hansraj Kumar

Paper ID: V7I6-1142

Paper Status: published

Published: November 18, 2021

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Review Paper

High-speed machining in milling process – A review

This article presents a review work on high-speed milling as reported in various journals and proceedings. High-speed milling is an advanced metal cutting process that involves rapid speed and feed rates to improve productivity and surface finishing quality. This technology eliminates the disadvantages of traditional machining. Wear and breakage of tools, material behavior certain hard to machine metals, effects of various cutting parameters on surface finish, and its modern technique are discussed in this paper.

Published by: Hemant Kumar P., Madhumitta P., Sankar Vignesh M.

Author: Hemant Kumar P.

Paper ID: V7I6-1192

Paper Status: published

Published: November 18, 2021

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Review Paper

Role of machine learning in text classification – An extensive review

Cyberspace has elevated business insights and created a virtual space to store all forms of information online. Due to the rapid development in the online world, the usage of digital documents has increased because it is comfortable for the users to share, update or keep track of the records in one place without losing data. However, maintaining massive data does not suit optimal decision-making and is extremely expensive for storage, processing, and collection. There is a gigantic possibility that human annotators make errors while classifying data because of distraction, monotony, fatigue, and failure to meet the requirements. Once the text classification method uses machine learning approaches, the process will execute with fewer mistakes and more accuracy. The main goal of this review paper is to highlight and explain the role of different machine learning methodologies in text classification. Concurrently, this paper describes the challenges faced by other machine learning techniques and text representation. Furthermore, this review paper will provide an extensive survey on how various machine learning techniques such as Neural Networks, Naive Bayes, Logistic Regression, Random Forest, Decision Trees, and Support Vector Machine (SVM) - are implemented in Text classification.

Published by: Amisha Srivastava, Kushagra Jain

Author: Amisha Srivastava

Paper ID: V7I6-1203

Paper Status: published

Published: November 18, 2021

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Research Paper

Issues and challenges faced by vendors in unorganized setup – A study on vegetable vendors of Chhatarpur District, Madhya Pradesh

Developing countries like India with flooded populations provide a very limited amount of employment avenues in organized sector that needs highly skilled individuals. So the extended need of employment remains unmet which insists the majority of unskilled and illiterate population to dig the opportunities available in unorganized sector. Vegetable vending on being an unorganized sector work provides opportunities for unskilled people to get engaged with very low level of initial investment but in absence of any policy or rule at ground level the situation of vendors remains abysmal. The paper intends to ascertain the problems, gender representation, socio-economic status, literacy level and other issues encountered by vegetable vendors in Chhatarpur district of Madhya Pradesh. Data has been collected from three different vegetable markets of Chhatarpur. Study infers that vendors have multiple challenges and impediments which forced them to live a miserable life. Appropriate policies, social security schemes, permanent place of selling and curbing on goons at ground level can have positive impact on the lives of vegetable vendors and their family members.

Published by: Gautam Choudhary, Angita Raghuwanshi

Author: Gautam Choudhary

Paper ID: V7I6-1195

Paper Status: published

Published: November 17, 2021

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