Traditional finance suggests that investments made by rational behaviors investors examine risk and return before decision making to gain maximum profit later behavioral finance challenge traditional finance and introduce psychological factors affect decision making. The aim of this research paper is to explore how behavioral biases affect investment decision making under uncertainty. Dependent variable investment decision making is a composite activity, it never be made in a vacuity by depending on personal resources. Based on this study investment choices alternatives influence by human rational and irrational behavior, therefore, examine the impact of behavioral finance in the decision-making process. Behavioral finance phenomenon variables; heuristic, prospects, personality characteristics, feeling, moods and ecological factors explore under this research. Overconfidence, Representativeness, Anchoring, Regret Aversion, Hindsight, Herding Effect and Home Bias included in investors psychology behaviors. Survey questionnaire tool used to collect sample to conduct quantitative research. To test the hypothesis Regression analysis run by the SPS software. Findings revealed that there was an effect of behavioral biases on investment decisions. Empirical results concluded investment decision making influenced by heuristic behaviors more than prospects and personality characteristics. The originality of this study, it is very beneficial for investors and financial institutions to make decision by observation of psychological factors.
Summary
We present a comparative study on the structural, electronic, elastic, and thermoelectric properties of the cubic inverse‐perovskites A3OX (where A = Li, Na, K and X = Cl, Br, I) by density functional theory (DFT). The cohesive, formation, and elastic properties analysis indicates that all studied materials are chemically, thermodynamically, and mechanically stable. Electronic properties reveal that all the inverse A3OX perovskite are direct bandgap semiconductors except Li3OCl and Li3OBr with ionic nature which is confirmed by electron localization function (ELF) analysis. We have also calculated Debye temperature (ΘD) and Grüneisen parameter (γ) to determine the lattice thermal conductivity for all the A3OX materials. Furthermore, thermoelectric (TE) properties are explored by calculating the Seebeck coefficient (S), electronic thermal conductivity, power factor (PF), electrical conductivity (σ/τ), lattice thermal conductivity, and ZT value. Our investigated A3OX inverse‐perovskites provide a fertile base that can improve the overall TE performance for TE applications and green energy production.
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