Behavioural finance, property values and housing conversion in Urban Ghana

Author(s):  
Anthony Owusu-Ansah ◽  
Lewis Abedi Asante
2020 ◽  
Vol 42 (1) ◽  
pp. 33-46
Author(s):  
Raúl Gómez-Martínez ◽  
Camila Marqués-Bogliani ◽  
Jessica Paule-Vianez

Behavioural finance has shown that investment decisions are the result of not just rational but also emotional brain processes. On the assumption that emotions affect financial markets, it would seem likely that football results might have a measurable effect on financial markets. To test this, this study describes three algorithmic trading systems based exclusively on the results of three top European football teams (Juventus, Bayern München and Paris St Germain) opening long or short positions in the next market season of the futures market of the index of each country (MIB (Milano Italia Borsa), DAX (Deutscher Aktien Index) and CAC (Cotation Assistée en Continu). Depending on the outcome of the last game played a long position was taken after a victory and a short position after a draw or defeat. The results showed that the algorithmic systems were profitable in the case of Juventus and Bayern whereas in the case of PSG, the system was profitable, but in an inverse way. This study shows that investment strategies that take account of sports sentiment could have a profitable outcome.


2010 ◽  
Vol 14 (1) ◽  
pp. 57-80 ◽  
Author(s):  
Garud Iyengar ◽  
Alfred Ka Chun Ma
Keyword(s):  

Author(s):  
Daniel K. N. Johnson ◽  
Kristina M. Lybecker ◽  
Nicole Gurley ◽  
Alex Stiller-Shulman ◽  
Stephen Fischer

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Normayuni Mat Zin ◽  
Suriatini Ismail ◽  
Junainah Mohamad ◽  
Nurul Hana Adi Maimun ◽  
Fatin Afiqah Md. Azmi

Real estate is complex in nature, whereby its value is determined by many characteristics. Heritage property is different as compared with non-heritage property, thus; it is essential to identify the heritage property value determinants due to limited published research about it. This paper closes the gap by reviewing the literature to identify the determinants. To achieve this, academic journals and conference papers in online databases from 1974 to 2017 have been reviewed. The results indicated that there are four groups of heritage property value determinants namely; i) transaction characteristics, ii) structural characteristics, iii) spatial characteristics, and iv) historical characteristics. It can be concluded that heritage property values are differentiated by historical characteristics notably on their architectural styles or design and the status of the heritage property itself. This finding should be a useful guidance for the valuers in valuation practice.


2014 ◽  
Vol 37 (1) ◽  
pp. 103-128 ◽  
Author(s):  
Kimberly G. Key ◽  
Teresa A. Lightner

ABSTRACT This study examines the relation between commercial and industrial property values and local property taxes using 1999 to 2009 data for the state of Georgia. Results show a negative relation between commercial values and property taxes, consistent with the new view of capital tax prediction that these taxes are borne, at least in part, by property owners. Incidence estimates show very high to full capitalization. There is little evidence of a relation between industrial property values and property taxes, contrary to prior research. This study is the first to provide empirical evidence of differences in commercial and industrial property tax incidence. The study contributes to the understanding of the capitalization of business taxes, which has been the subject of very little prior research. The results can inform policymakers who consider trade-offs in tax revenue needs, economic development, and issues of fairness in their localities.


Author(s):  
Kirsten D. Orwig

Convective storms affect countries worldwide, with billions in losses and dozens of fatalities every year. They are now the key insured loss driver in the United States, even after considering the losses sustained by tropical cyclones in 2017. Since 2008, total insured losses from convective storms have exceeded $10 billion per year. Additionally, these losses continue to increase year over year. Key loss drivers include increased population, buildings, vehicles, and property values. However, other loss drivers relate to construction materials and practices, as well as building code adoption and enforcement. The increasing loss trends pose a number of challenges for the insurance industry and broader society. These challenges are discussed, and some recommendations are presented.


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