Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

The study is to examine the volatility fluctuations based on investor sentiment as various studies has been carried out in the past concentrating mostly on the current reaction of investors sentiment depending on historical volatility estimations. Closing data of NYSE index is considered as independent variable in analyzing both the historical volatility and sentiment index as they are valuated from them. Observation of 807 trading days from the period of 2015-2018 from American Stock Exchange is considered for the study. The study also helps to determine the use of dependent (ARMS Index and Historical Volatility) and independent variable (NYSE Closing price data) among themselves and the reliability of the independent variable. The viability of the dependent variable in deriving the values of the independent variable is analyzed and it as found out that both the dependent variables can act as independent variable in examining the other dependent variable.

VIT Unitversity

Management

VIT Business School

Chennai Campus

International Journal of Recent Technology and Engineering 2

Recruiting Investors Sentiment in Forecasting Volatility (An Examination on American Stock Market)

The impulse of the study is to examine volatility index of single options share of five different companies. The study emphasizes on the relationship between various VIX stocks when compared with VIX of Apple. The main objective of this study is to predict relationship of volatility index of single options stock of five different companies – Apple, Amazon, Goldman Sachs, Google, IBM. These equity stocks are considered to be the premier stocks which has its independent VIX. The study uses time series model. The test of its relevance is done Correlation, Covariance, ARCH and Granger Causality test. Any change in the VIX index of Amazon, Goldman sacks, IBM will not affect VIX of Apple. There will not be market affect for stock Amazon, Google, VIX and Goldman Sachs. It is the first study to identify the relationship of the volatility index of single options stock of five different companies.

Predicting Equity VIX Of Technological Companies

Purpose: The purpose of this paper is to give prominence and further understand the Coleman and Borman (2000) citizenship performance model. This study also aims to determine and validate the scale formed from the behaviour statements defined by Coleman and Borman in the Indian context by using standard validating measures. Design/methodology/approach: The citizenship performance construct was measured and validated with a sample of 150 employees working in the IT/ITES sector in Chennai, India. Exploratory and confirmatory factor analyses were performed on the 27 behavioural statements proposed by Coleman and Borman (2000), which were converted into a five-point Likert scale. Findings: This paper proposes that citizenship performance can be reliably measured by the 17 items which are based on the 27 citizenship performance behaviour (CPB) statements provided by Coleman and Borman. In addition, it also confirms that citizenship performance is a second-order multi-dimensional construct. Research limitations/implications: An acceptable but constrained sample was used in this study. The sample frame was limited to the IT/ITES sector in Chennai, a city in Tamil Nadu, India, to minimise cultural influences on the study. Originality/value: This paper bridges and backs the conceptualisation of the Coleman and Borman (2000) model and the validation of a questionnaire based on their proposed set of CPB statements in the Indian context. This helps to measure the model with its intended questionnaire rather than borrowing items from other scales measuring other dimensions of the OCB domain. © 2019, Emerald Publishing Limited.

Industrial and Commercial Training

Citizenship performance: a study using Coleman and Borman’s model and validation of the scale

Employee turnover is now becoming a major problem in IT organizations, telecommunications and many other industries. Why employees leave the organization? is the question raising among many HR managers. Employees are the most important assets of an organization. Hiring new will always take more efforts and cost rather than retaining the old ones. This paper focuses on finding the key features of voluntary employee turnover and how they can be overcome well before time. The problem is to classify whether an employee will leave or stay. Data is taken from Kaggle. The proposed work will uses ensemble learning to solve the problem, rather than focusing on a single classifier algorithm it will combine weak learning algorithms to get a better ensemble model. We have used Cassandra to store the data in the form of table and retrieving data to perform machine algorithm on them. © BEIESP.

Computer Science

School of Computer Science and Engineering

Journal of Information Organization

Prediction of Employee Retention using Cassandra and Ensemble Learning

In the fast growing economy, the role of credit plays a very significant role. Most of the financial institutions offer credit to their customers who are in need to meet their personal requirements and as to pay it back within specific period. Any institution which provides the credit service will predict the credit risk towards an individual which highlights the capability of the person to pay back the amount along with their previous available pay back records. Many predictive models were developed to predict the credit risk with many different variables. In the present work, the different credit risk predictive models were evaluated and compared based on the quality of decision making. The primary data were collected from 151 respondents through various online sources with the structured questionnaire and the secondary data from the previous records. The metrics derived from the predictions reveal high accuracy and precision. From the analysis, the prediction accuracy and time for the linear SVM technique was better than all other methods. . © BEIESP.

World University root node

International Journal of Recent Technology and Engineering

A predictive analysis of credit risk evaluation and the quality decision making using different predictive models

Objectives: The research focuses on relationship between India VIX compared with VIX of Chicago, Brazil, China, and USA over a period of two years. This paper also determines the volatility of the stock market and the momentum change with other markets. Methods/Statistical analysis: For the purpose of the present study, secondary data is being used. The forecasting is done with the help of using Time Series Model, ARCH, Granger Causality and future forecast is done. Findings: From the study it can be found that for every change in the Brazilian stock market, the Indian Stock Market also shows a change. This means that Volatility in the Indian Market is because of the Volatility in the Brazilian market. The Jarque Bera Test is used to find the Skewness, Kurtosis, and Deviation in the data. Stationarity in the data is found out using Correlogram test. The relationship between Dependent and Independent variable is represented using ARCH Model. Application/Improvements: This is the first study to compare and contrast different stock markets to identify the effect of volatility in the stock market. © Serials Publications Pvt. Ltd.

International Journal of Economic Research

Relationship between India VIX and other VIX

"Do acquisitions create value for the acquiring firm's shareholders?" This is an unresolved question in the literature of acquisitions. This study analyzes the value creation of acquirers in India on an acquisition announcement and the sensitivity of the stock markets during an acquisition announcement. Most of the literature in the West concludes that, on an acquisition announcement, only the targets create value, and the acquirers are value destructive. This study uses a sample of 78 acquirers in the manufacturing industry who acquired targets in the calendar year 2012. The study develops four hypotheses and uses the event study methodology (market model/ ordinary least square model). The results of the study suggest that acquisitions are neither value creative to Indian acquirers and those acquirers with prior acquisition experience create more value than single acquirers. Surprisingly, the results show that acquirers using cash generate negative returns, which may be due to the presence of the hubris effect. Another important finding of the study is that the acquirers using stock as a method of payment are no longer value destructive, which is contrary to the literature which states that acquirers using cash are value creative and acquirers using stock are value destructive. This is an important contribution to the existing literature of the method of payment, and it implies that the theories in the West may not necessarily hold well in India, and they need to be reassessed before being implemented in the Indian context.