Mental accounting shapes public support for green spending of carbon tax revenues

Despite its potential for curbing greenhouse gas emissions, carbon taxation encounters strong public resistance in many countries. However, social acceptability of carbon taxation heavily depends on how the generated revenues are used. Citizens prefer carbon taxation schemes where tax revenues are earmarked for environmental protection rather than for non-environmental purposes (e.g., lowering the value-added tax or labour taxes). Here, we test the hypothesis that acceptability varies across earmarking domains according to a mental accounting heuristic, by which people create mental budgets where the origin of revenues is matched thematically with their domain of use. Across two experiments conducted in the United Kingdom and in France (Ntotal = 3500), we show that citizens display a specific preference for tax designs where the earmarking domain is matched with the revenue source (i.e. a carbon tax earmarked for environmental protection), relative to an unmatched tax scheme. Moreover, we find that acceptability of carbon taxation increases with the proportion of tax revenues earmarked for environmental protection.

What Can Explain Momentum? Evidence from Decomposition

This study comprehensively evaluates and ranks a large number of competing explanations for the momentum anomaly. As a benchmark for evaluation, firm fundamentals are found to be the most promising among well-known explanations of momentum, followed by prospect theory and mental accounting, and anchoring effect. Collectively, all explanations capture 31% of momentum, whereas 69% of momentum remains unexplained. This study thoroughly examines what fractions of the momentum anomaly emerge from the interaction effects between past returns and various firm characteristics. It is further found that strategies based on firm characteristics and residual momentum can significantly alleviate the severity of momentum crashes. Finally, robustness analysis is provided for choosing different formation and holding periods, excluding January observations, and analyze at the level of portfolio rather than individual stock. This paper was accepted by David Simchi-Levi, finance.

Factors Affecting Financial Behaviors:

This study was conducted to determine the effect of financial knowledge, financial attitude, locus of control, risk tolerance, motivation, and mental accounting on financial behavior. The population was 168 students majoring in International Business Management at Universitas Ciputra Surabaya. The characteristics of the respondents are students who are in the 6th semester and above at the time of taking the sampling with purposive sampling method. The data obtained were analyzed using Partial Least Square (PLS). The result shows that the factors of financial knowledge, locus of control, motivation, have no effect on financial behavior. While the factors of financial attitude, risk tolerance, and mental accounting have an effect on financial behavior.

Travel Choice Behavior Model Based on Mental Accounting of Travel Time and Cost

This paper analyzes the utility calculation principle of travelers from the perspective of mental accounting and proposes a travel choice behavior model that considers travel time and cost (MA-TC model). Then, a questionnaire is designed to analyze the results of the travel choice under different decision-making scenarios. Model parameters are estimated using nonlinear regression, and the utility calculation principles are developed under different hypothetical scenarios. Then, new expressions for the utility function under deterministic and risky conditions are presented. For verification, the nonlinear correlation coefficient and hit rate are used to compare the proposed MA-TC model with the other two models: (1) the classical prospect theory with travel time and cost (PT-TC model) and (2) mental accounting based on the original hedonic editing criterion (MA-HE model). The results show that model parameters under deterministic and risky conditions are pretty different. In the deterministic case, travelers have similar sensitivity to the change in gain and loss of travel time and cost. The prediction accuracy of the MA-TC model is 3% lower than the PT-TC model and 6% higher than the MA-HE model. Under risky conditions, travelers are more sensitive to the change in loss than to the change in gain. Additionally, travelers tend to overestimate small probabilities and underestimate high probabilities when losing more than when gaining. The prediction accuracy of the MA-TC model is 2% higher than the PT-TC model and 6% higher than the MA-HE model.

A Study on Changing Role of Investor Behaviour towards Digital Investments – Pre and During COVID-19 Scenarios

World markets are facing anxiety and vulnerability due to global pandemic of COVID-19.Investors are becoming cautious while selecting their investment avenues and hence theirfocus is shifting to more secure forms of investments. Cryptocurrencies are one of therenowned form of digital investments and has drawn attention of many investors since itsorigination. Since 2013 it has been attracting and shifting eye balls of many financial and ITresearchers with its excellent returns and use of advanced technology. The present study hasexplored the impact of COVID-19 on the investor behaviour towards digital currencies. Forthe very same purpose researchers have considered pre and during COVID phases andcompared the shift in volatility of five selected cryptocurrencies. The study has also explored few of the most prominent investor biases which influences investor behaviour and how these biases have shifted during global pandemic of COVID-19. Some of the prominent biases such as, availability bias, regret, mental accounting and herding have been recognized in the study to understand investor behaviour.

Cognitive Biases Among Millennial Indian Investors: Do Personality and Demographic Factors Matter?

This study examines the influence of financial literacy, gender, annual family income and neuroticism personality trait on the probability of millennial equity investors to suffer from selected cognitive biases (availability bias, representative bias, mental accounting bias and anchoring and adjustment bias). Binary logistic regression method is applied to conduct the analysis. Results of the current study indicate that selected demographic factors and investor personality are significant in predicting the probability of millennial Indian investor to suffer from the biases under consideration. For availability bias, financial literacy; for representative bias, financial literacy, neuroticism and gender; for mental accounting bias, neuroticism, gender and annual family income; and for anchoring and adjustment bias, financial literacy, neuroticism, gender and annual family income are found as significant predictors.

The Nexus Between Attitude, Social Norms, Intention to Comply, Financial Performance, Mental Accounting and Tax Compliance Behavior

This study empirically investigates the effects of attitudes toward tax compliance, descriptive norms, injunctive norms, subjective norms, personal norms, tax compliance intention, financial performance, and mental accounting on tax compliance. The determinant are largely developed based on the Theory of Planned Behavior (TPB) and social norms. Data collection is carried out through field surveys to obtain a final sample of 209 respondents who are SME owners in 11 regencies/cities in Central Java Province, Indonesia. The data were analyzed using structural equation modeling (SEM). The results show that attitudes toward tax compliance, injunctive norms, subjective norms, personal norms, and financial performance positively affect SME owners’ tax compliance intentions. Furthermore, financial performance and tax compliance intentions have a positive effect on tax compliance behavior. However, we do not find empirical evidence that mental accounting has a role in strengthening the effect of tax compliance intentions on tax compliance behavior. This study contributes to the tax compliance literature through a more comprehensive measure of subjective norms and the use of financial performance as an alternative measure of perceived behavioral control.

FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN INVESTASI PROPERTI PADA KOTA BATAM

Perilaku keputusan investasi mulai menarik perhatian akademisi internasional. Penelitian ini dilakukan untuk mengetahui pengaruh behavioral finance dengan menerapkan variabel overconfidence, representativeness, mental accounting, loss aversion dan herding terhadap keputusan investasi. Jumlah sampel yang dikumpulkan dan digunakan dalam penelitian berjumlah 203 responden di Kota Batam dan dianalisis menggunakan metode regresi linier berganda. Hasil penelitian menunjukkan bahwa overconfidence, mental accounting, dan herding berpengaruh positif signifikan terhadap keputusan investasi, sedangkan variabel representativeness dan loss aversion tidak berpengaruh terhadap keputusan investasi.