International Journal of Accounting, Business and Finance
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Predicting Long Term Prices of Nifty Index using Linear Regression and ARIMA: A comparative study
Full text linkStocks are traded continuously in the financial market, creating huge time series data. Stock market time series is very volatile and highly complex to model. There are many methods to forecast a time series. This study predicts and compares the performance of two statical methods, linear regression, and ARIMA also referred to as the Box Jenkins method, which stands for Autoregressive Integrated Moving Average, is a robust time series forecasting technique used frequently by researchers. Simple linear regression is generally assumed unsuitable for non-linear stock time series data. However, a literature gap exists in comparing linear regression and the ARIMA method for forecasting stock prices. Hence, this study compares the ARIMA and linear regression methods to forecast stock prices using daily and weekly NIFTY data. Further, this study also experiments using a different length of time series, namely 1-year and 2-year data. The result shows that ARIMA outperformed regression on daily and weekly data when the test for 1 year of data. When 2-year data is taken, linear regression outperformed ARIMA on both daily and weekly data. Hence, the linear regression model and ARIMA are sensitive to input parameters such as the number of days for training and forecasting. An automated method or algorithm could improve the robustness of the model. Further, as stock price data is non-linear, machine learning algorithms such as neural networks and support vector regression can be more suitable for prediction
Government Employees\u27 Mutual Fund Moves: Understanding Decision Drivers with the Theory of Planned Behavior
Full text linkUsing the Theory of Planned Behavior model (TPB), this study examined the variables affecting government employees\u27 intention of mutual funds investment. Convenience sampling was used to gather data from the Shahdol division of Madhya Pradesh State of India for the study, incorporating secondary data. Responses have been collected through structured, closed-ended questionnaires using a 5-point Likert scale. Out of 164 responses gathered, only 143 data were found suitable for further study. The researchers applied descriptive and regression tests using SPSS AMOS version 23 to do the analysis. They found that the intention of government employees to invest in a mutual fund is affected only by their disposition. Subjective norms and Perceived Behavioral Control (PBC) do not significantly affect their investment intention. It is necessary to increase their awareness of and familiarity with mutual funds to encourage investment
Advancing Financial Knowledge: Exploring Information Dynamics, Market Reactions, and Valuation Theories: Insights from the December 2022 Issue
Full text linkWith the collaborative support of the editorial board members, authors, reviewers, section editors, technical editors, and production editor, we successfully launched the December 2022 issue of the International Journal of Accounting, Business and Finance (IJABF). The IJABF Volume 2 Issue 1 contains four articles dealing with contemporary issues. The authors try to unlock the research questions by providing empirical results and the scope for future studies. I thank all the contributors to this issue
Corporate social responsibility, accounting, and auditing: A retrospective review
Full text linkThe primary purpose of this article is to conduct the bibliometric review of corporate social responsibility, accounting, and auditing-related 405 publications from the Scopus database and in the A*, A, and B category of Australian Business Deans Council’s journal quality list. We have conducted a descriptive analysis that presents the annual publication and citation trend, collaboration pattern, most influential articles, and most productive and influential journals, authors, countries, and organizations. In contrast, network analysis includes the country co-authorship, journal citation, author keyword co-occurrence, journal co-citation, and bibliographic coupling of documents. At last, we have reviewed the contents of bibliographic-based clusters to present past and present CSR, accounting, and auditing and found the gap that can help in future research by stakeholders.
Impact of the COVID-19 pandemic on banking and financial sector stock returns
Full text linkUsing the Indian banking and financial services stocks, this study set out to examine the impacts of the global pandemic and government measures on the stock returns around four pandemic-related events. This study employs the event study methodology with the market model estimation for a 210-day estimation window [-214,-5] and a 15-day event window [-4,+10]. The reaction was mild to the announcement of \u27Health Emergency of Global Concern\u27, but as soon as the coronavirus outbreak was declared a \u27global pandemic\u27, the market reacted significantly. Further, due to the expected economic stimulus, the Reserve Bank of India\u27s financial measures resulted in a positive response from the market. The public and private sector banks are almost non-reactive to the first event. The findings deny that with the available prices, during an event, abnormal returns are impossible. The analysis results make it easier for them to formulate sustainable policies and constitute a high-yield moderate-risk portfolio during such emergencies
The changing face of accounting: Prospects and issues in the application of artificial intelligence
Full text linkoai:ojs2.ijabf.in:article/6Artificial intelligence (AI) has penetrated every part of business, and accounting has changed from e-accounting to AI-enabled accounting. AI opens the door to many competitive edges, whether collecting and analyzing financial data or various real-time data, including those from social networks, videos, images, geological locations, etc. AI is adaptive to the work environment, and its infusion is expected to expand its spider-web in almost every industry. This study aims to discuss AI in accounting while discussing the prospects and issues in applying AI. It also discusses some of the popular AI-based programs available for accounting
Credit Risk and financial performance banks: a panel data analysis
Full text linkThe NIFTY50 index is the premier benchmark for the Indian stock market, comprising 50 companies from 13 diverse sectors. As five of the country\u27s largest commercial banks are part of this index, their performance indicates the overall market performance. This study aimed to investigate the correlation between credit risk and the financial performance of these NIFTY50-indexed banks. Utilizing secondary data collected from the banks\u27 annual reports over the past decade (2012-2021), the study employed panel data regression analysis to examine the relationship between return on equity and return on asset as measures of financial performance and capital adequacy ratio, net non-performing assets (NNPAs), and cost to income (CI) as measures of credit risk. The results revealed a significant relationship between credit risk and financial performance, with the capital adequacy ratio having no significant impact. The study recommends that NIFTY50-indexed commercial banks implement strategies to lower their CI and NNPAs to improve their financial performance
Impacts of bank mergers on shareholder\u27s wealth: An event study on Indian public sector banks
Full text linkWe examine the effect of the news about merger of six banks into four major banks, employing the standard event study method with the market model on a sample of four bidders and six target banks. We find significant impact of merger announcement on the bidder and target banks. While the bidder banks are negatively impacted, the target banks experience positive impacts on the event day and day after, followed by negative results later on. No previous study is found to have addressed this question on how the merger announcements impact the bidder and target bank\u27s stock returns in India
Impact of the National Horticulture Mission on the growth of the Indian floriculture industry
Full text linkThe objective of the paper is to analyze the impact of the National Horticulture Mission (NHM) on the growth of the Indian Floriculture industry. The growth of the industry is assessed using trend analysis after the implementation of the mission for the period 2005-2021 and a pre and post-mission analysis is done for the period 1995-2021 considering the area under cultivation of flowers, production of loose and cut flowers, and export of floriculture products from India in terms of value and volume. Findings reveal that the mission has no significant impact on the growth of exports of floriculture products in terms of volume/quantity. It is concluded that the increase in the value of exports is attributed to the increase in the rate of inflation and the price of floriculture products in the international market and is not due to a higher quantity of exports of floriculture products from India
Impact of the global financial crisis on the Indian economy
Full text linkThis paper provides a descriptive review of the impacts of the global financial crisis on the Indian economy. While examining the growth in the gross domestic product (GDP), fiscal deficit, exports, imports, Wholesale Price Index (WPI) inflation, and the foreign exchange rates (FX), we find that the GDP has been severely impacted during the crisis period, especially during 2008-09. While the fiscal deficit continuously increased during 2008-09 and 2009-10, the exports and imports declined considerably. The WPI inflation followed a downward trend, and the rupee depreciated by approximately 20 percent during 2008. During 2008-09, the agricultural and industrial growth significantly declined, but the service sector sustained itself. The findings also reveal that the policy initiatives by the Indian government and those by the Reserve Bank of India safeguarded the Indian economy to a large extent