scholarly journals Investment motives and preferences – An empirical inquiry during COVID-19

2021 ◽  
Vol 18 (2) ◽  
pp. 1-11
Author(s):  
Riyazahmed K.
Keyword(s):  
Mutual Funds ◽  
Life Insurance ◽  
Personal Characteristics ◽  
Investor Behavior ◽  
Positive Trend ◽  
Empirical Inquiry ◽  
The Impact ◽  
Safety And Stability ◽  
Investor Preference ◽  
Awareness Level

Following the COVID-19 breakout, investment in shares, mutual funds, and life insurance are witnessing a growing trend in India. Hence, examining the determinants of investor preferences is necessary to maintain a positive trend. This study analyzes the impact of investor motives and awareness on investor preferences using the data collected from 753 Indian investors in 2020. Factor analysis grouped the investment motives into six categories, namely Nature of investments, Future financial needs, Investor personal characteristics, Safety and stability of investments, Investor behavioral aspects, and Investor’s options. The regression model used to find the impact of the investment motives and the awareness on the investor preferences explains 52.3% of changes in investor preference. Investment factors like Nature of investments, Investor personal characteristics, Investor behavior, Investor options, Awareness of mutual funds, and shares have a significant impact on investor preferences. Further, the awareness level of mutual funds and the stock market are the major variables contributing to Investors’ preference rather than identified investment factors. Investors’ personal characteristics like knowledge, confidence, ability, responsibility, and belief negatively influence investor preferences. This study adds to the existing literature by analyzing investment motives and preferences during the pandemic.

scholarly journals The Effects of Insurances, Pensions and Mutual Funds on Economic Growth

2020 ◽  
Vol 6 (1) ◽  
pp. p17
Author(s):  
Richard S. Ramoutar
Keyword(s):  
Economic Growth ◽  
Mutual Funds ◽  
Life Insurance ◽  
Mutual Fund ◽  
Insurance Premium ◽  
Insurance Company ◽  
Market Interaction ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

Earlier studies on the impact of the insurance sectors activities on economic growth have largely failed. To examine the financial development market interaction of pensions and mutual funds linkages, through which insurance assets affects economic growth. This study re-examines the impact of life insurance premium volume, non-life insurance premium volume, insurance company assets, pension fund assets and mutual fund assets on economic growth. Using panel data of 33 countries over the period 2000-2016. The study applied the Autoregressive Distributed Lag (ARDL) model in panel setting using the PMG (Pooled Mean Group) and MG (Mean Group) estimators in this analysis. The study findings indicate that cointegration exists among all series and that insurances and mutual funds stimulate economic growth in both the short and long run.

scholarly journals Does Demography & Socio-Economic Status Influence Investment Motives?

2021 ◽  
Author(s):  
Riyazahmed K
Keyword(s):  
Socioeconomic Status ◽  
Economic Status ◽  
Investor Behavior ◽  
The Past ◽  
Main Effect ◽  
And Behavior ◽  
The Impact ◽  
Safety And Stability ◽  
Effect Of Age ◽  
Structured Questionnaire

Abstract Research studies in the past have analyzed the significance of demographic and socioeconomic status influencing investment preference and behavior. However, no study has focused on analyzing their impact on ‘Investment motives’. Hence, this study examines the investment motives and analyzes the significance of the impact of demographic and socioeconomic factors on investment motives. The study uses factor analysis and Multivariate analysis of variance (MANOVA) for this purpose. The data are collected from 753 investors through a structured questionnaire. Results of the study show that investment motives are grouped into six categories i.e., nature of the investment, future financial needs, investor characteristics, safety and stability, investor behavior, and investor options. Further, there exists a main effect of employment, marital status, location, and the number of earning members on investment motives. Likewise, there exists an interaction effect of age and location, gender and income, and age and income on investment motives. The study adds to the existing literature by comprehensively analyzing all the demographic, socioeconomic status with the investment motives.

Assessing the Impact of Suicide Exclusion Periods on Life Insurance

Crisis ◽  
2010 ◽  
Vol 31 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Paul Yip ◽  
David Pitt ◽  
Yan Wang ◽  
Xueyuan Wu ◽  
Ray Watson ◽  
...  
Keyword(s):  
Life Insurance ◽  
Accidental Death ◽  
Insurance Policy ◽  
Death Rates ◽  
Insurance Policies ◽  
Suicidal Death ◽  
Insured Individual ◽  
The Impact ◽  
Insurance Data ◽  
The Relationship

Background: We study the impact of suicide-exclusion periods, common in life insurance policies in Australia, on suicide and accidental death rates for life-insured individuals. If a life-insured individual dies by suicide during the period of suicide exclusion, commonly 13 months, the sum insured is not paid. Aims: We examine whether a suicide-exclusion period affects the timing of suicides. We also analyze whether accidental deaths are more prevalent during the suicide-exclusion period as life-insured individuals disguise their death by suicide. We assess the relationship between the insured sum and suicidal death rates. Methods: Crude and age-standardized rates of suicide, accidental death, and overall death, split by duration since the insured first bought their insurance policy, were computed. Results: There were significantly fewer suicides and no significant spike in the number of accidental deaths in the exclusion period for Australian life insurance data. More suicides, however, were detected for the first 2 years after the exclusion period. Higher insured sums are associated with higher rates of suicide. Conclusions: Adverse selection in Australian life insurance is exacerbated by including a suicide-exclusion period. Extension of the suicide-exclusion period to 3 years may prevent some “insurance-induced” suicides – a rationale for this conclusion is given.

The Impact of Library Programs on the Level of Reader Development of Schoolchildren

2013 ◽  
pp. 60-65
Author(s):  
Oksana L. Kabatcheck
Keyword(s):  
Personal Characteristics ◽  
Psychological Study ◽  
The Impact

The article presents the results of experimental-psychological study of the efficiency of three copyrighted library programs, designed to develop reading and personal characteristics of the younger schoolchildren. Using the author’s scale of literary (reader) development, there are demonstrated the strengths and weaknesses of programs, referring to the author's or reader's position.

On the Impact of Regulating Commissions: Evidence from the Indian Mutual Funds Market

2015 ◽  
Author(s):  
Santosh Anagol ◽  
Vijaya B. Marisetty ◽  
Renuka Sane ◽  
Buvaneshwaran Venugopal
Keyword(s):  
Mutual Funds ◽  
The Impact

A Study on Investment Decision of Investors With Reference to Penetration of Mutual Funds in India

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Ratish C Gupta ◽  
Dr. Manish Mittal
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Mutual Funds ◽  
Capital Markets ◽  
Mutual Fund ◽  
Financial Services ◽  
Investment Decision ◽  
Fund Industry ◽  
Mutual Fund Industry ◽  
The Impact

The Indian mutual fund industry is one of the fastest growing and most competitive segments of the financial sector. The extent of under-penetration in the market is a sore point with the financial services industry, with a large amount of savings being channelized into fixed deposits, gold and real estate rather than the capital markets. The mutual fund industry is yet to spread its reach beyond Tier I cities. The top fifteen cities contribute to 85% of the pie, with the remaining 15% distributed among other cities. The study seeks to determine the impact of decision making of investors on current situation of mutual fund industry.

Just Like Leaves in the Wind? Exploring the Effect of the Interplay of Media Coverage and Personal Characteristics on Issue Salience

2017 ◽  
Author(s):  
Agatha Kratz ◽  
Harald Schoen
Keyword(s):  
Individual Differences ◽  
Panel Data ◽  
Financial Crisis ◽  
Media Coverage ◽  
News Coverage ◽  
Personal Characteristics ◽  
Election Campaign ◽  
Issue Salience ◽  
Cross Sectional ◽  
The Impact

This chapter explores the effect of the interplay of personal characteristics and news coverage on issue salience during the 2009 to 2015 period and during the election campaign in 2013. We selected four topics that played a considerable role during this period: the labor market, pensions and healthcare, immigration, and the financial crisis. The evidence from pooled cross-sectional data and panel data supports the notion that news coverage affects citizens’ issue salience. For obtrusive issues, news coverage does not play as large a role as for rather remote topics like the financial crisis and immigration. The results also lend credence to the idea that political predilections and other individual differences are related to issue salience and constrain the impact of news coverage on voters’ issue salience. However, the evidence for the interplay of individual differences and media coverage proved mild at best.

Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics

2020 ◽  
pp. 003151252098308
Author(s):  
Bianca G. Martins ◽  
Wanderson R. da Silva ◽  
João Marôco ◽  
Juliana A. D. B. Campos
Keyword(s):  
College Students ◽  
Eating Behavior ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Structural Model ◽  
Negative Affectivity ◽  
Personal Characteristics ◽  
Second Order ◽  
The Impact ◽  
The Relationship

In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.

scholarly journals Research on the Economic Development Threshold Effect of the Employment Density of the Shanghai Consumer Goods Industry in the Context of New Manufacturing, Based on the Experience Comparison with International Metropolis

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 969
Author(s):  
Lei Shen ◽  
Xi Zhang ◽  
Hongda Liu ◽  
Pinbo Yao
Keyword(s):  
Economic Development ◽  
Population Density ◽  
Consumer Goods ◽  
Inflection Point ◽  
Growth Potential ◽  
Positive Trend ◽  
Employment Density ◽  
Consumer Goods Industry ◽  
The Impact ◽  
Development Threshold

With the rise of a new generation of technology and industrial changes, the service-oriented manufacturing industry has become the direction of future development. With the background of new manufacturing, this paper constructs an economic development threshold model of employment density of consumer goods industry based on data from Shanghai and Tokyo from 2007 to 2016, and empirically analyzes the impact of the employment density of the consumer goods industry on urban economic development under different population densities. At the same time, by comparing the experience of Tokyo, the development status and prospects of Shanghai’s consumer goods industry are explored. The study found that the threshold of Tokyo’s consumer goods industry is 0.608. When population density is lower than this threshold, the consumer goods industry continues to promote the economic development of Tokyo; however, when the population density is higher than this threshold, the consumer goods industry begins to inhibit the economic development of Tokyo. The Shanghai consumer goods industry threshold is 0.329. Under the threshold, most of the consumer goods industry contributions to the economy are negative, but above the threshold, they begin to show a positive trend. The inflection point of the effect curve of Tokyo’s consumer goods industry on economic development has appeared, but the inflection point of Shanghai’s consumer goods industry has not yet appeared. Compared with Tokyo, the economic vitality of Shanghai’s consumer goods industry has not yet been fully released. With the continued increase of population density in Shanghai, the growth potential of the consumer goods industry is huge, and it is expected to reshape the flourishing age of Shanghai’s light industry brand.

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