Exploring Investment Patterns in Emerging Regions: Determinants of Investment Choices Among Scheduled Tribe Women Investors in Arunachal Pradesh
Age, Investment patterns, Scheduled tribe women, Risk-averse.
India's changing investment landscape, which includes economic reforms and regulatory changes, has made it necessary to learn about the investment patterns of different groups of investors, such as women who may have special needs. Scheduled tribe women in Arunachal Pradesh face unique challenges or influences that affect their investment choices based on their age, even though they are becoming more involved in the economy, and some are still financially dependent. A statistical analysis employing SPSS and hypothesis testing was conducted to understand the decision-making processes of scheduled tribe women investors investment patterns about their livelihoods. The study used purposive sampling methods to obtain data from a structured questionnaire with 250 respondents from East Siang, the Itanagar capital region, and Ziro. It also shows that women investors prefer the safety of principal factors in any investment options, as they are risk-averse to different financial instruments. The study results have implications for scheduled tribe investors and financial institutions, highlighting the need for customized financial education and investment options that meet the needs of women investors in the area.
"Exploring Investment Patterns in Emerging Regions: Determinants of Investment Choices Among Scheduled Tribe Women Investors in Arunachal Pradesh", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 8, page no.362-364, August-2019, Available :https://ijsdr.org/papers/IJSDR1908058.pdf
Volume 4
Issue 8,
August-2019
Pages : 362-364
Paper Reg. ID: IJSDR_304599
Published Paper Id: IJSDR1908058
Downloads: 00038
Research Area: Science and Technology
Country: -, -, India
DOI: https://doi.org/10.56975/ijsdr.v10i8.304599
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave