Comparing to developed countries, the investors participation in the stock market is very much low in India. There is need for rightful approach to attract the retail investors towards the stock market. If more retail investors are get... more
Comparing to developed countries, the investors participation in the stock market is very much low in India. There is need for rightful approach to attract the retail investors towards the stock market. If more retail investors are get started to participate in the stock market, country will develop and we can anticipate economy growth. In this background the current study was conduct to understand and identify factors which are influencing Indian investors towards the stock market. The main aim of the study is find out the factors which are influencing the investors to take decision to invest in the shares in Mysore City. For the same total 375 respondents’ opinion were collected through the structured questionnaire by using convincing sampling method. Results indicates that factors like company reputation, risk factor, tax benefits, convenience & affordability, safety are the factors which are positively influencing on the investors to take decision to invest their hard earn money in shares but returns and liquidity factors are negatively influencing on the investors with respect to investing their money in shares
Approximately 44 million people around the world already have Alzheimer’s disease and other forms of dementia. It’s the fastest-growing cause of death in the world. Alzheimer’s disease is a member of an aggressive family of... more
Approximately 44 million people around the world already have Alzheimer’s disease and other forms of dementia. It’s the fastest-growing cause of death in the world.
Alzheimer’s disease is a member of an aggressive family of neurodegenerative diseases known as Transmissible Spongiform Encephalopathy (TSE). The operative word is “transmissible.” Related diseases are killing wildlife and livestock. The TSE epidemic represents an environmental nightmare that threatens every mammal on Earth.
TSEs include Alzheimer’s disease, Creutzfeldt-Jakob disease, Huntington’s disease, and Parkinson’s disease. TSEs also include mad cow disease and chronic wasting disease in deer. Few, if any, mammals are immune. There is no cure and there is no species barrier.
TSEs are caused by a deadly protein called a prion (PREE-on). Prion disease is unstoppable and the pathogen spreads through bodily fluids and cell tissue. Prions linger in the environment, homes, hospitals, nursing homes, dental offices, restaurants and many other places infinitely. They migrate, mutate, multiply and kill with unparalleled efficiency. Prions defy all attempts at sterilization and inactivation. Victims of the disease can spread the disease even further via bodily fluids and cell tissue. Victims often are contagious long before they appear sick.
The Bombay Stock Exchange is extensive and fully regulated trading system in India. Exploration and forecasting of stock market time series data have developed considerable interest from the researchers over the last decade. Time Series... more
The Bombay Stock Exchange is extensive and fully regulated trading system in India. Exploration and forecasting of stock market time series data have developed considerable interest from the researchers over the last decade. Time Series modelling techniques perform pivotal role in prediction of data for future demands. Volatility forecasting has become crucial for investors, policy holders, retailers since bringing preciseness in estimating the future is very difficult. Automotive sector has gone through severe crash in their operations in last decade mostly due to policy changes, policy paralysis and confusion among retailers about several new changes to be brought by the authority. This paper suggested a review on some of the most crucial works gives a meticulous view of recent machine learning (ML) techniques in the quantitative share price prediction showing that these are the methods transcend some traditional approaches. This paper using time series analysis found out the volatility forecasting using machine learning and by applying volatility forecasting model ARIMA. The present study focuses on analyzing the suitability of ARIMA model for forecasting share prices of four major companies of automobile sectors Hero Motor Corp, Ashok Leyland, TVS Motors, Eicher Motors. The data collection was done on monthly basis for the period 11th August, 2014 to 16th August,2019 from the website of Bombay stock exchange.
Derivatives which are regarded as Risk Management Tools which helps the investors to minimize different types of risks faced by them. Trading in derivatives is increasing day by day in terms of its volume which indicates the importance of... more
Derivatives which are regarded as Risk Management Tools which helps the investors to minimize different types of risks faced by them. Trading in derivatives is increasing day by day in terms of its volume which indicates the importance of derivatives. Various derivative products are emerging to meet the needs of different investors. Many types of equity derivatives etc are trading in major exchanges in India.
Chronic wasting disease (CWD) is ravaging wildlife in many regions across North America. It’s part of a larger epidemic of neurological disease that is killing millions of people, wildlife and livestock around the world. Once again,... more
Chronic wasting disease (CWD) is ravaging wildlife in many regions across North America. It’s part of a larger epidemic of neurological disease that is killing millions of people, wildlife and livestock around the world. Once again, wildlife are serving as the proverbial canary in a coal mine.
CWD is part of an incurable spectrum disease called transmissible spongiform encephalopathy (TSE). The operative word is “transmissible.” Mismanagement of pathogens associated with the disease are contributing to a broader epidemic of neurological disease among wildlife, livestock and people.
The objective of any professional investor is to carefully watch the volatility return of measure industries and companies. Among the various techniques of the volatility, random walk hypothesis tests the return of industries pure random... more
The objective of any professional investor is to carefully watch the volatility return of measure industries and companies. Among the various techniques of the volatility, random walk hypothesis tests the return of industries pure random or non random. This study made an attempt to study on random walk hypothesis with top Indian industries. The study was conducted for log return of industries from October 2011 to June 2014. various factors were carefully analyzed and interpreted. The finding and suggestions were made on the basis of giving a suggestion to the investors.
The study aims to measure the impact of stock split information on the returns and volatility of the underlying stocks, which influences the behaviour of stock market. Event study has been conducted with major splitting firms listed in... more
The study aims to measure the impact of stock split information on the returns and volatility of the underlying stocks, which influences the behaviour of stock market. Event study has been conducted with major splitting firms listed in BSE of India with one-year announcement date of 2012 (Jan. to Dec.). Though, the stock split does not change the market capitalization of different firms. The average abnormal return, cumulative average abnormal returns are calculated for the -30 to +30 days event period. The result of this study showed a higher negative insignificant abnormal return on stock splitting day, as well as there is a significantly higher Volatility in stock during these period.
A consumer survey conducted in 2006 (n = 419), and therefore after the first confirmed bovine spongiform encephalopathy (BSE) cases in North America in 2003, employs attribute-based choice experiments for a cross-country comparison of... more
A consumer survey conducted in 2006 (n = 419), and therefore after the first confirmed bovine spongiform encephalopathy (BSE) cases in North America in 2003, employs attribute-based choice experiments for a cross-country comparison of consumers’ valuation of credence attributes associated with beef steak labels; specifically a guarantee that beef was tested for BSE, a guarantee that the steaks were produced without genetically modified organisms (GMOs) and a guarantee that beef steaks were produced without growth hormones and antibiotics. Considering consumers’ socio-economic characteristics, the results suggest that consumers in Montana (U.S.) and Alberta (Canada) are significantly heterogeneous in their valuation of the above attributes, although consumers’ relative valuation of these process attributes does not appear to have changed since the 2003 BSE crisis in each region. Alberta consumers place a significant valuation on beef tested for BSE, which is striking because Canada’s current legal environment does not permit testing and labelling of such beef by private industry participants. Montana consumers’ valuation was found highest for a guarantee that the steaks were produced without GMO. Effective supply-chain responses to consumers’ valuation of credence attributes, for example, in the form of labelling, should therefore take consumers’ heterogeneity into account.
The technology acceptance model and innovation diffusion theory are very common theories applied and tested in the IS research. However, few focused on health related areas. TAM-IDT combination theory has been applied to test online or... more
The technology acceptance model and innovation diffusion theory are very common theories applied and tested in the IS research. However, few focused on health related areas. TAM-IDT combination theory has been applied to test online or mobile acceptance and adoption level. Since Breast Self- Examination (BSE) Teleconsultation is not yet introduced to be used in healthcare, acceptance level of the