Understanding heuristics-based financial decision-making using behavioral portfolio strategies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamran Quddus ◽  
Ashok Banerjee

PurposeThrough a portfolio choice model, the study empirically examines the influence of the heuristic simplification through peak-end rule (PER) and the associated neglect of the duration of the experience. The portfolio strategy adopted involves optimizing portfolios to capture the impact of heuristic-driven investors' experience of good and bad states. The study attempts to validate PER in an empirical context and is expected to generate trading rules, which would exploit pricing errors emerging out of the use of heuristics by investors.Design/methodology/approachThe empirical approach adopted in the study primarily examines returns to portfolios sorted according to various hedonic evaluation rules. Behavioral portfolios are constructed using hedonic experiences as conditioning variables.FindingsThe results imply that there is continued investor demand for such assets in the short run. An equal weight portfolio based on a three-month hedonic evaluation earns an average monthly return of 2.77% over the next 12 months.Originality/valueThe authors’ study may perhaps be the first attempt to use the peak-end heuristic in portfolio construction.

2017 ◽  
Vol 8 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Samuel Kwabena Obeng ◽  
Daniel Sakyi

Purpose The purpose of this paper is to examine macroeconomic determinants of interest rate spreads in Ghana for the period 1980-2013. Design/methodology/approach The autoregressive distributed lag bounds test approach to cointegration and the error correction model were used for the estimation. Findings The results indicate that exchange rate volatility, fiscal deficit, economic growth, and public sector borrowing from commercial banks, increase interest rate spreads in Ghana in both the long and short run. Institutional quality reduces interest rate spreads in the long run while lending interest rate volatility and monetary policy rate reduce interest rate spreads in the short run. Research limitations/implications The depreciation of the Ghana cedi must be controlled since its volatility increases spreads. There is a need for fiscal discipline since fiscal deficits increase interest rate spreads. Government must reduce its domestic borrowing because the associated crowding-out effect increases interest rate spreads. The central bank must improve its monitoring and regulation of the financial sector in order to reduce spreads. Originality/value The main novelty of the paper (compared to other studies on Ghana) lies on the one hand; analysing macroeconomic determinants of interest rate spreads and, on the other hand, controlling for the impact of institutional quality on interest rate spreads in Ghana.


2018 ◽  
Vol 9 (1) ◽  
pp. 17-44 ◽  
Author(s):  
Rosylin Mohd Yusof ◽  
Farrell Hazsan Usman ◽  
Akhmad Affandi Mahfudz ◽  
Ahmad Suki Arif

Purpose This study aims to investigate the interactions among macroeconomic variable shocks, banking fragility and home financing provided by conventional and Islamic banks in Malaysia. Identifying the causes of financial instability and the effects of macroeconomic shocks can help to foil the onset of future financial turbulence. Design/methodology/approach The autoregressive distributed lag bound-testing cointegration approach, impulse response functions (IRFs) and forecast error variance decomposition are used in this study to unravel the long-run and short-run dynamics among the selected macroeconomic variables and amount of home financing offered by both conventional and Islamic banks. In addition, the study uses Granger causality tests to investigate the short-run causalities among the selected variables to further understand the impact of one macroeconomic shock to Islamic and conventional home financing. Findings This study provides evidence that macroeconomic shocks have different long-run and short-run effects on amount of home financing offered by conventional and Islamic banks. Both in the long run and short run, home financing provided by Islamic banks is more linked to real sector economy and thus is more stable as compared to home financing provided by conventional banks. The Granger causality test reveals that only gross domestic product (GDP), Kuala Lumpur Syariah Index (KLSI)/Kuala Lumpur Composite Index (KLCI) and house price index (HPI) are found to have a statistically significant causal relationship with home financing offered by both conventional and Islamic banks. Unlike the case of Islamic banks, conventional home financing is found to have a unidirectional causality with interest rates. Research limitations/implications This study has focused on analyzing the macroeconomic shocks on home financing. However, this study does not assess the impact of financial deregulation and enhanced information technology on amount of financing offered by both conventional and Islamic banks. In addition, it is not within the ambit of this present study to examine the effects of agency costs and information asymmetry. Practical implications The analysis of cointegration and IRFs exhibits that in the long run and short run, home financing provided by Islamic banks are more linked to real sector economy like GDP and House Prices (HPI) and therefore more resilient to economic vulnerabilities as compared to home financing provided by conventional banks. However, in the long run, both conventional and Islamic banks are more susceptible to fluctuations in interest rates. The results of the study suggest that monetary policy ramifications to improve banking fragility should focus on stabilizing interest rates or finding an alternative that is free from interest. Social implications Because interest plays a significant role in pricing of home loans, the potential of an alternative such as rental rate is therefore timely and worth the effort to investigate further. Therefore, Islamic banks can explore the possibility of pricing home financing based on rental rate as proposed in this study. Originality/value This paper examines the unresolved issues in Islamic home financing where Islamic banks still benchmark their products especially home financing, to interest rates in dual banking system such as in the case of Malaysia. To the best of the authors’ knowledge, studies conducted in this area are meager and therefore is imperative to be examined.


2018 ◽  
Vol 45 (10) ◽  
pp. 1439-1452 ◽  
Author(s):  
Kashif Munir ◽  
Maryam Sultan

Purpose The purpose of this paper is to analyze the impact of taxes on economic growth in the long run as well as in the short run. Design/methodology/approach The study uses simple time series model, where real GDP is dependent variable and different forms of taxes are explanatory variables under ARDL framework from 1976 to 2014 at annual frequency for Pakistan. Findings Direct taxes have positive relation with economic growth in the long run. Sales tax, tax on international trade (tariffs) and other indirect taxes have positive impact on economic growth of Pakistan in the long run as well as in the short run. However, sales tax and other indirect taxes impact negatively on economic growth in the short run after one year because people realize decline in their real income. Practical implications Government should increase direct taxes by increasing tax base. Indirect taxes usually indicate negative impact after one and two years; therefore, government should decrease its reliance on indirect taxes. Government should promote tax awareness among the people which increase the tax morale of people and increase the tax base. Originality/value Taxes are disaggregated into direct and indirect taxes, while indirect taxes have been further disaggregated into excise duty, sales tax, surcharges, tax on international trade and other indirect taxes. This study provides useful insight for policy makers in designing taxes and their effect on growth.


2019 ◽  
Vol 9 (2) ◽  
pp. 145-166 ◽  
Author(s):  
Neharika Sobti

Purpose The purpose of this paper is to ascertain the possible consequences of ban on futures trading of agriculture commodities in India by examining three critical issues: first, the author explores whether price discovery dominance changes between futures and spot in the pre-ban and post-relaunch phase both in the long run and short run. Second, the author examines the impact of ban and relaunch of futures trading on its underlying spot volatility for five sample cases of agriculture commodities (Wheat, Sugar, Soya Refined Oil, Rubber and Chana) using both parametric and non-parametric tests. Third, the author revisits the destabilization hypothesis in the light of ban on futures trading by examining the impact of unexpected component of liquidity of futures on spot volatility. Design/methodology/approach The author uses widely adopted methodology of co-integration to examine long-run relationship between spot and futures, while the short-run relationship is investigated using vector error correction model (VECM) and Granger causality to test price discovery in the pre-ban and post-relaunch phases. The second objective is explored using a combination of parametric and non-parametric tests such as Welch one-way ANOVA and Kruskal–Wallis test, respectively, to gauge the impact of ban on futures trading on spot volatility along with post hoc tests to investigate pairwise comparison of spot volatility among three phases (pre-ban, ban and post-relaunch) using Dunn Test. In addition, extensive robustness test is undertaken by adopting augmented E-GARCH model to ascertain the impact of ban and relaunch of futures trading on spot volatility. The third objective is investigated using Granger causality test between spot volatility and unexpected component of liquidity of futures estimated using Hodrick and Prescott (HP) filter to re-visit the destabilization hypothesis. Findings The author found extensive evidence for the dominance of futures market in the price discovery of agriculture commodities both in the pre-ban and post-relaunch phases in India. The ban on futures trading is found to have a destabilizing impact on spot volatility as evident from the findings of Wheat, Sugar and Rubber. In addition, it is observed that spot volatility was highest during the ban phase as compared to the pre-ban and post-relaunch phases for all four commodities barring Chana. The author found that destabilisation hypothesis holds true during the pre ban phase, while weakening of destabilization hypothesis is observed in the post-relaunch phase as unexpected futures liquidity has no role in driving the spot volatility. Originality/value This study is a novel attempt to empirically examine the potential impact of ban and relaunch of futures trading of agriculture commodities on two key market quality dimensions – price discovery and spot volatility. In addition, destabilization hypothesis is revisited to investigate the impact of futures trading on spot volatility during the pre-ban and post-relaunch period.


2020 ◽  
Vol 5 (3) ◽  
pp. 271-280
Author(s):  
Naseem H. Jamei ◽  
Mira Nurmakhanova ◽  
Shahbaz Mustafa ◽  
Alloysius Egbulonu ◽  
Wagdi Hadidan

Purpose This paper aims to focus on testing the long-run relationship between fish production and two main variables, the foreign direct investment inflow and the marine trade balance in Oman, which is one of the Arab Gulf countries, during the period 1985-2016. Design/methodology/approach This study uses what known as the two-step Engle–Granger cointegration test to give evidence for the long-run relationship among the variables. Findings The results show that there are a negative long- and short-run relations between fish production and marine trade balance; moreover, any shocks will be corrected within two periods at the most.  Originality/value This study is one of few studies in using the econometric models to study the impact of fish production on marine trade balance and foreign direct investment.


2015 ◽  
Vol 42 (4) ◽  
pp. 356-367
Author(s):  
Faridul Islam ◽  
Saleheen Khan

Purpose – The purpose of this paper is to examine the dynamic relationship among immigration rate, GDP per capita, and and real wage rates in the USA. Design/methodology/approach – The paper implements the Johansen-Juselius (1990, 1992) cointegration technique to test for a long-run relationship; and for short-run dynamics the authors apply Granger causality tests under the vector error-correction model. Findings – The results show that the long-run causality runs from GDP per capita to immigration, not vice versa. Growing economy attracts immigrants. The authors also find that immigration flow depresses average weekly earnings of the natives in the long-run. Originality/value – The authors are not aware of any study on the USA addressing the impact of immigrants on labor market using a tripartite approach by explicitly incorporating economic growth. It is therefore important to pursue a theoretically justified empirical model in search of a relation to resolve on apparent immigration debate.


2017 ◽  
Vol 43 (4) ◽  
pp. 440-451 ◽  
Author(s):  
Sophie Pommet

Purpose The purpose of this paper is to analyze the impact of venture capital (VC) involvement on the survival rate of French initial public offerings (IPOs) during the period 1996-2006. The paper examines the link between the survival rates of IPO companies, and several proxies for the quality of venture capitalist financing and monitoring. Design/methodology/approach To analyze the impact of the involvement of VC on both long and short run post-IPO survival, two methods are used: survival analysis (the Cox proportional hazard), and a logit model. Findings This paper shows that the quality of venture capitalist monitoring, measured by the duration of their investment before the IPO, is positively correlated with company survival rates. However, the author does not find the expected result when the author considers the experience of venture capitalists measured by their age. Research limitations/implications The findings are limited to a sample of VC-backed companies that went public. Practical implications The findings have implications for entrepreneurs. When analyzing the advantages and disadvantages linked to the presence of VC firms in the capital of their companies, entrepreneurs should consider that certain types of venture capitalists might be more or less able to be involved in the monitoring and value adding process. Originality/value To date, there is no comprehensive study on the French IPO market analyzing both long and short run post-IPO survival of VC-backed companies. This paper fills this gap.


2020 ◽  
Vol 22 (2) ◽  
pp. 297-309
Author(s):  
Trung Tuyen Dang ◽  
Caihong Zhang ◽  
Thi Hong Nguyen ◽  
Ngoc Trung Nguyen

PurposeThe purpose of this paper is to evaluate the influence of VND/USD exchange rate on Vietnamese coffee export price (PVN).Design/methodology/approachThe study uses cointegration test, Granger causality test and vector autoregression (VAR) model.FindingsThe results reveal that there is no co-integrating equation between two variables. It means the exchange rate does not have an effect on PVN in the long run. Furthermore, there is one Granger causality relationship between VND/USD exchange rate and PVN in the short run, but not vice versa. The study suggests that the first previous period of PVN is the most closely related variable which has the greatest impact on the variation of PVN among the selected variables, meanwhile the effect of VND/USD exchange rate on it, contrarily, is positive and very trivial.Originality/valueIn overall, the impact of VND/USD exchange rate on Vietnamese coffee export price (PVN) has been analyzed deeply in this research by applying new approaches.


2019 ◽  
Vol 26 (3) ◽  
pp. 793-807 ◽  
Author(s):  
Laila Memdani ◽  
Guruprasad Shenoy

Purpose The purpose of this paper is to study the following: short-run and long-run associations between the terror-affected country’s stock market index and other global countries’ equity indices and gold; the volatility of stock market indices when one of the countries is affected by a terrorist attack; and the linkages between terrorism and the returns in the selected stock markets. Design/methodology/approach To study the impact of the Taj attack on other global indices, the authors selected top five countries’ stock market indices, namely, FTSE, DJI, NIKKEI, SSEC and DAX. The short-run and long-run associations are also compared with gold. The authors used the autoregressive distributed lag model, LM test and bounds test for analyzing the short-run and long-run impact; ARCH family models to study the volatility impact; and the MAR model to study the impact on returns. Findings The authors found that all the global indices had a short-run association with the terror-affected country’s benchmark index, i.e. BSE. Gold moved as expected, with it having a short-run impact on the terror-affected country. All the global indices except DJI have volatility of share price movement either positively or negatively. As the benchmark of the terror-affected country fell, NIKKEI, HSI, IXIC, DAX and CAC also fell; that is, it had a positive influence on the terror-affected country’s index. Post the Mumbai attacks, DJI, NIKKEI, SSEC, DAX, BSE and CAC performed well in performance measure returns compared with the pre-attack period. Whereas, FTSE and GOLD performed well in performance measure returns in the pre-attack period compared with the post-attack period. GOLD proved that it is the best avenue to invest in, as it has only a short-term association with the terror-affected country’s index. Research limitations/implications The authors studied the short-run and long-run associations with only five countries’ benchmark indices. Practical implications The authors found that all the global indices had long- and short-run associations with the terror-affected country’s benchmark index, i.e. BSE. Global indices like DJI, NIKKEI, SSEC, DAX and FTSE had a short-term association with the affected country’s index. Gold moved as expected, with it having a short-run impact on the terror-affected country. All the global indices except DJI have volatility of share price movement either positively or negatively. As the benchmark of the terror-affected country fell, NIKKEI, HSI, IXIC, DAX, TSX, BVSP and CAC also fell; i.e., it had a positive influence on the terror-affected country’s index. Post the Mumbai attacks, DJI, NIKKEI, SSEC, DAX, BSE and CAC performed well in performance measure returns compared with the pre-attack period. Whereas, FTSE and GOLD performed well in performance measure returns in the pre-attack period compared with the post-attack period. GOLD proved that it is the best avenue to invest in, as it has only a short-term association with the terror-affected country’s index. In all the relationships were mixed with respect to terror attacks, and GOLD took the lead run out of all the associations it had in the 16-year time span from 2000 to 2016. Social implications The research has got an important implication to the investors. It shows that patience is the key, as all the indices had only short-term associations with the BSE. It implies that investors’ returns will be negative in the short run, but if they continue investing, in the long run, the impact of terrorism tapers out and the returns will increase. Originality/value There is a lot of research done on the impact of the US attacks on the stock markets of other countries, but on the impact of the Taj attack in India, there is hardly any research.


2019 ◽  
Vol 12 (2) ◽  
pp. 161-184
Author(s):  
Anwar Hasan Abdullah Othman ◽  
Syed Musa Alhabshi ◽  
Salina Kassim ◽  
Ashurov Sharofiddin

Purpose With the continuing development of the financial technology revolution, a better understanding of bank deposits variability has become necessary for bank management and policymakers, especially central banks. This is because the novel innovations of cryptocurrencies operate beyond the realm of the banking system, which may impact the performance of banks and their deposits variability. This study aims to investigate the long- and short-run effects of cryptocurrencies’ market capitalization development on the banks’ deposit variability in the Gulf Cooperation Council (GCC) region. Design/methodology/approach In this study, the Johansen–Juselius (1990) cointegration test with vector error correction model was applied to examine the long-run relationships, while the Engle and Granger (1987) and the Granger (1969) causality tests were used to detect causal relationships in the short term. Findings The findings of Johansen–Juselius cointegration test indicate that the banks’ deposits variability in all six states of the Gulf region share negative long-run equilibrium association with the development of global cryptocurrencies market capitalization, but with different statistically significant levels. For the short-run analysis, the study found that the development of cryptocurrencies market capitalization has significant unidirectional causal effects on bank deposits variabilities in only four states, namely, UAE, Qatar, Kuwait and Bahrain. The findings of the study therefore suggest that to eradicate the effects of cryptocurrencies industry and its threats to the banking industry, banks in GCC region are encouraged to either consider cryptocurrencies as an alternative investment asset for their portfolio investment diversification strategies or adopt the blockchain technology in their operation system to facilitate their customers with low transaction cost, high level of security and ease of use and real-time settlement. Research limitations/implications The empirical findings of the study will provide valuable input for policymakers, especially central banks and bank managements, to evaluate the current situation and the threats of the cryptocurrencies market growth and its effect on the banking industry’s performance, future survival and their deposits variability for better regulation and policy planning and investment strategies. Originality/value This is a pioneering study that empirically explores the phenomenon of bank deposits variability as a consequence of expansion in cryptocurrencies market capitalization, where the findings proved evidence of a drastic decline in banks’ deposits size due to the substantial growth in cryptocurrencies market capitalization.


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