An Empirical Study on Impact Analysis of Macro Economic Indicators on Indian Banking Stocks | Chapter 3 | Economics, Business and Management: Recent Advances Vol. 1

 

The fluctuations in stock prices are due to both company-specific internal factors and many external factors. Among the external factors, the most important are the macroeconomic factors. To create a profitable portfolio, investors must analyse both internal and external influences. This study focuses on the impact of the most important macroeconomic factors, viz., GDP, inflation, industrial production, crude oil prices, foreign institutional investments, currency exchange rate and interest rates, on the prices of the listed banking stocks in India. The sample constitutes the top five listed banks selected from the public and private sectors on the basis of their market capitalisation. The collected secondary data was analysed using suitable statistical tools such as mean, standard deviation, coefficient of correlation and linear multiple regression analysis. Hypotheses are tested based on Pearson’s correlation and regression analysis. It is observed that only two variables, i.e. industrial production and exchange rate, have a significant positive impact on the stock prices. The variable interest rate is showing a significantly negative influence on the stock prices. All the other variables, viz., GDP, inflation, oil prices and FII investments have an insignificant impact.

 

 

Author(s) Details

S. Sundara Ram
C. U. Shah University, Wadhwan, Gujarat, India.

 

Munjal Dave
C. U. Shah University, Wadhwan, Gujarat, India.

 

M. Rajesh
VIT Business School, VIT University, Tamil Nadu, India.

 

 

Please see the book here :- https://doi.org/10.9734/bpi/ebmra/v1/6975

A Comprehensive Evaluation of Chinese Residents' Consumption Potential from 2010-2021 | Chapter 36 | Theoretical Key Issues and Practical Development Trends of China’s Digital Economy

Household consumption holds significant importance within a nation's economy as one of its foremost constituents and serves as both a fundamental impetus for economic advancement and an ultimate objective. As China's socialist market economy continues to progress alongside improvements in living standards, there has been an expansion in Chinese residents' expenditure with enhancements made to its structure and quality while contributing increasingly towards economic growth annually. Consequently, household spending plays a pivotal role in our national economy. To foster sound progression in household spending necessitates implementing various measures such as elevating resident incomes, enhancing consumer environments, and bolstering market oversight amongst others; concurrently emphasizing comprehensive evaluations regarding resident spending potential will offer valuable insights for further enhancement.

 

Author (s) Details

 

Wenbo Lyu
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Haowen Chen
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

Yan Jiang
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Jinsun Feng
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Tandang Huang
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-48388-89-6/CH36

An Analysis of Hainan Province Tourism Development | Chapter 10 | Theoretical Key Issues and Practical Development Trends of China’s Digital Economy

Yalong Bay International Rose Valley Scenic Spot in Sanya is a comprehensive tourist destination that combines the beauty of nature and humanistic feelings. With the core theme of "beauty, romance and love", relying on the natural features of farmland, reservoir and mountain forest, and centered on colorful roses, it has created a large-scale comprehensive scenic spot integrating rose planting, cultural display and tourism and leisure. It is the largest rose valley in Asia. As a tourist city in China, Sanya's tourism industry has contributed significantly to its GDP. In recent years, tourism revenue has been accounting for more than 60% of Sanya's GDP. Although the COVID-19 pandemic has reduced the proportion since 2020, tourism revenue still accounts for more than 50 percent of Sanya's GDP. It is crucial to reinforce governmental oversight, enhance the tourism service framework, fortify the monitoring of the corporate marketplace, and propel Hainan's tourism sector to an elevated echelon. By integrating our unique regional culture into this process and crafting a distinct tropical island brand persona, can significantly augment Hainan's GDP.

 

Author (s) Details

Wenbo Lyu
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Yuxin Wang
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-48388-89-6/CH10

Unravelling the Nexus between Economic Factors and Gross Domestic Product in Bangladesh | Chapter 7 | An Overview on Business, Management and Economics Research Vol. 9

Bangladesh is one of the most populous countries in the world with more than 163 million people. Dhaka, as the capital city, is the main economic, political, and cultural hub of this nation. Economic growth is measured by gross domestic product and the factors of economic growth are cross-cutting factors. Gross Domestic Product (GDP) is believed to be an indicator of a country’s economic condition. Bangladesh’s GDP increased at a pace of 8.15% in fiscal 2018-2019 as per the base year 2005-2006. By the year 2019, Bangladesh has become the seventh fastest-growing economy in the world. This paper used secondary data from the World Bank for the fiscal year from 2010 to 2020. This paper used a multiple regression analysis model for the macroeconomic factors. The aim of this study is to measure the effects of macroeconomic factors considering GDP as the dependent variables and inflation rate, import, and export are considered as independent. This paper represents that import and export are positively associated factors with GDP whereas inflation rate is a negatively associated factor. It is recommended that investment in the Bangladesh export sector should also be enhanced to overcome the present obstacles of the economy and therefore foreign direct investment (FDI) should also try to be enhanced by attracting the contemplation of foreign stakeholders from both developing and developed countries. It was found that import and export have a positive relation with GDP and inflation whereas exchange rate has a negative association with GDP. This study concluded by revealing the importance of conducting a further study by considering more economic variables to measure economic growth as a whole.

Author(s) Details:

Mostofa Mahmud Hasan,
Department of Business Administration, Khwaja Yunus Ali University, Bangladesh.

B. M. Sajjad Hossain,
Department of Business Administration, American International University, Bangladesh.

Md. Abu Sayem,
Department of Statistics, EXIM Bank Agricultural University, Bangladesh.

Please see the link here: https://stm.bookpi.org/AOBMER-V9/article/view/13425

Status of Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) Scheme | Chapter 4 | Research Developments in Arts and Social Studies Vol.1

 Agriculture is the backbone of the Indian economy. A major portion of the Indian population relies on agriculture and related activities to make a living. The Indian government is continually working to enhance the agricultural sector through the implementation of several initiatives, one of which is the PM-Kisan Samman Nidhi programme. It is the government's main effort aiming at doubling the income of farmers. It increases agricultural output by stabilising farmers' income and allowing them to adopt high-yielding variety seeds and advanced agricultural technologies. The PM-Kisan Samman Nidhi plan, which was implemented in India, is the subject of this research. For this, we acquired secondary data from several Indian government sources as well as the PM-Kisan plan dashboard. Tables and charts were utilised in the study as descriptive statistical tools. According to the conclusions of the study, PM-Kisan is a large-scale initiative that can yield considerable outcomes. The Indian government has taken a positive move to improve the living conditions of farmers. On the other hand, the sum provided to farmers under the PM-Kisan system is insufficient. It is recommended that the sum be sufficient to maintain a reasonable standard of living.

Author(s) Details:
Deepak Kumar,
Department of Economics, Chaudhary Ranbir Singh University, Jind (Haryana), India.

Sunil Phougat,
Department of Economics, Chaudhary Ranbir Singh University, Jind (Haryana), India.

Please see the link here:  https://stm.bookpi.org/RDASS-V1/article/view/5722

The First Wave of COVID-19 in India: Demographic and Economic Analysis | Chapter 20 | New Frontiers in Medicine and Medical Research Vol. 10

 For two independent Kaggle data sets, this article presents a detailed analysis of COVID-19-related mortality in India for the first eight months of 2020. The states are statistically significant in a regression model, according to the first data set provided by Kaggle for the period, which includes Indian nationality, states, and counts for total cases, deaths, and cured.

Furthermore, I drew conclusions concerning correlations between COVID-19 deaths and the four factor categories using the second Kaggle data set provided by Kaggle for the period for age, gender, nationality, and all states in the country, and found that the overall logistics regression model was statistically significant. The study found that both sexes are equally impacted by the virus in the first eight months of 2020, and that age and state of residence play key roles in life and death owing to the virus. Virus-related mortality have been highest in states with higher GDP production, which may explain the compelled avoidance of the social distancing effect.

Author (S) Details

Rohan S. Kulkarni
Dr. DY Patil Medical College, Pune, Maharashtra, India.

View Book :- https://stm.bookpi.org/NFMMR-V10/article/view/3519