Behavior and Factors Affecting High-Risk Asset Investment among Generation Y in Lampang Province

Abstract

The study's current goal is to examine the individual factors, behaviors, and investment factors related to high-risk assets among Generation Y in Lampang province. This is a quantitative research study, and the sample group consists of individuals who have invested in high-risk assets within Generation Y in Lampang. The research tool used was a questionnaire. The statistical methods employed for descriptive analysis included mean, percentage, standard deviation, and one-way ANOVA.

The study findings are as follows; 1) the investigation of individual factors in terms of gender found that the majority of the respondents were male, Most participants were single, had a bachelor's degree, worked in sales or owned a business, and earned between 35,001 and 40,000 baht. 2) In terms of high-risk asset investment behavior, the main source of income is found to be salaries/wages from regular jobs .The experience in investing is 1 to 5 years The investment style reveals choose “Gold Futures” as their investment type. Regarding the amount of money used for investment per time, invest between 10,001 - 15,000 Baht. The expected return is 10% to 20%, expecting this return. The acceptable level of loss is found to be below 10% .The individuals influencing investment decisions are mainly those who decide independently, accounting .3) In terms of factors affecting investment in high-risk assets for Generation Y in Lampang Province, the overall level of importance as perceived by respondents is relatively high. When classified by category, the highest average is in the area of reliability. 4) Personal individual factors differ and have an impact on investment in high-risk assets for Generation Y in Lampang Province. It was found that marital status differs in terms of reliability, understanding, and education, affecting expected returns, individual factors, price, and reliability. Occupation differences affect expected returns, individual factors, price, investment decisions, reliability, and understanding. Income differences affect the economy, expected returns, individual factors, price, and understanding. These differences are statistically significant at the 0.05 level.