Generalized regression neuronal networks to predict the value of numismatic assets.: evidence for the walking liberty half dollar

• Antonio Carlos Alcázar-Blanco ^[1] ; Jessica Paule-Vianez ^[2] ; Miguel Prado-Román ^[2] ; José Luis Coca-Pérez ^[1]
  1. [1] Universidad de Extremadura

     Universidad de Extremadura

     Badajoz, España

     
  2. [2] University of Rey Juan Carlos
• Localización: European Research on Management and Business Economics, ISSN 2444-8834, Vol. 27, Nº. 3, 2021, págs. 83-90
• Idioma: inglés
• DOI: 10.1016/j.iedeen.2021.100167
• Enlaces
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• Dialnet Métricas: 2 Citas
• Resumen

  • Unstable fluctuations in financial markets caused by the 2008 financial crisis and currently by the Covid-19 crisis have generated greater concern among investors regarding their capital protection. In view of this situ- ation, the consideration of alternative investments has taken a relevant position to protect their wealth and obtain profits. Due to the relevance of these investments in these times, this study proposes using artificial intelligence to predict the value of alternative investments, specifically the numismatic asset the Walking Liberty Half Dollar. To achieve this objective, the use of Generalized Regression Neural Networks has been proposed over a sample 25 coins of the Walking Liberty Half Dollar with several qualities valued in the period 2000-2019. Two models were proposed, one for the entire selected sample and the other one for each type of coin depending on its year of minting. Thus, it has been found that the model proposed for the entire sample has a success rate of between 86.12% and 97% while the approach for each type of coin obtained success rates that even reach 100%. The variables that have the greatest influence within the model are the state of conser- vation of the coin, its age, and its exclusivity. In this way, these results provide fundamental information to investors to understand the behaviour of these assets, and to be able to formulate more profitable investment portfolios, especially in times of great economic instability

• Referencias bibliográficas
  • Al-Shayea, Q. K., & El-Refae, G. A. (2012). Evaluation of banks insolvency using artificial neural networks. In Proceedings of the 11th...
  • Berman, N. S., & Schulman, H. M. F. (1983). The investor s guide to United States Coins. New York: The Coin & Currency Institute,...
  • Brown, R. A. (2005). Rare coins: A distinct and attractive asset class. Journal of Financial Planning. http://www.usrarecoininvestments.com/coin_articles/rare_coins2.htm.
  • Campbell, R. (2008). Art as a financial investment. The Journal of Alternative Investments, 10(4), 64–81. doi:10.1016/B978-0-12-374522-4.00006-8.
  • Cardell, N. S., Kling, J. L., & Petry, G. (1995). Stamp returns and economic factors. South- ern Economic Journal, 62(2), 411–427. doi:10.2307/1060693.
  • Chanel, O. (1995). Is art market behaviour predictable? European Economic Review, 39 (3-4), 519–527. doi:10.1016/0014-2921(94)00058-8.
  • Chen, A. S., & Leung, M. T. (2004). Regression neural network for error correction in for- eign exchange forecasting and trading. Computers...
  • Chopra, N., Lakonishok, J., & Ritter, J. R. (1992). Measuring abnormal returns: Do stocks overreact? Journal of Financial Economics, 31(2),...
  • Coca P erez, J. L. (1998). An alisis del mercado financiero de bienes tangibles: El caso partic- ular de la filatelia financiera. Madrid:...
  • Corredor, P., Ferrer, E., & Santamaría, R. (2013). El sentimiento del inversor y las renta- bilidades de las acciones. El caso espa~nol....
  • Darling, P. G. (1955). A surrogative measure of business confidence and its relation to stock prices. The Journal of Finance, 10(4), 442–458....
  • Ekelund, R. B. J. R., Ressler, R. W., & Watson, J. K. (2001). Estimates, Bias and "No sales" in Latin-American Art Auctions 1977-1996....
  • Fern andez, J. L. A. (2008). Modelos avanzados para la predicci on a corto plazo de la producci on el ectrica en parques e olicos. La Rioja:...
  • Ferson, W., & Harvey, C. (1991). The variation of economic risk premiums. Journal of Political Economy, 99(2), 385–415. https://www.jstor.org/stable/2937686.
  • G omez Martínez, R., & Prado Rom an, C. (2014). Sentimientos del inversor, selecciones nacionales de futbol y su influencia sobre sus...
  • Hirshleifer, D., & Shumway, T. (2003). Good Day Sunshine: Stock Returns and the Weather. The Journal of Finance, 58(3), 1009–1032. doi:10.1111/1540-6261.00556.
  • Knaus, G. (2007). Rare Coins. The new value investment? . www.coinportfolios.com/ index.html.
  • Frank, Knight (2018). The wealth report. The global perspective on prime property and invest- ment. . Knight Frank https://content.knightfrank.com/research/83/documents/en/the- wealth-report-2018-5338.pdf.
  • Leung, M. T., Daouk, H., & Chen, A. S. (2000). Forecasting stock indices: A comparison of classification and level estimation models....
  • Lo, A., & Mackinley, A. C. (1988). Stock market price do not follow random walk: Evi- dence from a simple specification test. Review of...
  • Lombra, R. E. (2004). Tangible investment corporation. managing porfolio risk: The role of rare coins. United States: Penn State University...
  • Luera Pe~na, W. E., & Minim, L. A. (2001). Aplicaci on de redes neuronales artificiales en la modelizaci on del tratamiento t ermico de...
  • Macías Guill en, A. (2015). Modelo de estimaci on del precio de las inversiones en obras de arte a trav es de redes neuronales: La pintura...
  • Marinao, E., Chasco, C., & Torres, E. (2012). Trust in tourist destinations. The role of local inhabitants and institutions. Academia....
  • Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. doi:10.2307/2975974.
  • Maslar, D. A., Obaid, K., & Pukthuanthong, K. (2020). US Coins Market: Historical Perfor- mance and Anomalies. Available at SSRN https://ssrn.com/abstract=3492347...
  • McAndrew, C. (2018). The art market 2018. Art Basel & UBS Report. . https://d2u3kfwd92fzu7. cloudfront.net/Art%20Basel%20and%20UBS_The%20Art%20Market_2018.pdf.
  • Mei, J., & Moses, M. (2002). Art as an investment and the underperformance of master- pieces. American Economic Review, 92(5), 1656–1668....
  • Mochon, A. (2003). An alisis de la eficiencia de las subastas: Aplicaci on al sector filat elico y numism atico. Madrid: Universidad Nacional...
  • Mochon, A. (2005). An alisis de la eficiencia de las subastas; Aplicaci on al Sector Filat elico y Numism atico. Madrid: Fundaci on Albertino...
  • Moorman, C., Deshpand e, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing, 57(1),...
  • Nofsinguer, J. R. (2005). Social mood and financial economics. Journal of Behavioral Finance, 6(3), 144–160. doi:10.1207/s15427579jpfm0603_4.
  • €Ozt€urkkal, B., & Togan-E grican, A. (2020). Art investment: Hedging or safe haven through financial crises. Journal of Cultural Economics,...
  • Parisi, F. A., Parisi, F. F., & Guerrero, C. J. L. (2003). Modelos predictivos de redes neuro- nales en índices burs atiles. El Trimestre...
  • Paule-Vianez, J., Gomez-Martinez, R., & Prado-Rom an, C. (2020). A bibliometric analysis of behavioural finance with mapping analysis...
  • Paule-Vianez, J., Guti errez-Fern andez, M., & Coca-P erez, J. L. (2020). Prediction of finan- cial distress in the Spanish banking system....
  • Pommerehne, W. W. (1997). The impact of Museum Parchase on the Auctions Prices. Journal of Cultural Ecomics, 21(3), 249–271. https://www.jstor.org/stable/41810638.
  • Poterba, J. M., & Summers, L. H. (1988). Mean reversion in stock prices: Evidence and implications. Journal of Financial Economics, 22(1),...
  • Prado Rom an, C. (2009). Factores determinantes en la valoraci on de los activos numis- m aticos de oro. Madrid: Universidad Rey Juan Carlos...
  • Prado Rom an, C., Coca P erez, J. L., & García Est evez, P. (2012). Aplicaci on de la teoría de carteras con activos numism aticos y metales...
  • Prado Rom an, M. (2012). An alisis contable y modelo de valoraci on de las inversiones numism aticas: La moneda del centenario de la peseta....
  • Prado Rom an, M., G omez Martínez, R., & S anchez de Lara, M. A. (2018). La capacidad de inversi on en el mercado alternativo internacional:...
  • Santos, J. L., & Gonz alez S anchez, F. J. (2019). Determinantes de la prima de los ecus espa~noles. Revista Numism atica H ecate, 6,...
  • Shahpazov, V. L., Velev, V. B., & Doukovska, L. A. (2013, June). Design and application of artificial neural networks for predicting the...
  • Sharpe, W. F., & Alexander, G. J. (1990). Investments (4th Ed.). (pp. 786−788). United States: Prentice-Hall International Editions.
  • Specht, D. F. (1991). A general regression neural network. IEEE Transactions on Neural Networks, 2(6), 568–576. doi:10.1109/72.97934.
  • Stein, J. P. (1977). The monetary appreciation of paintings. Journal of Political Economy, 85(5), 1021–1035. doi:10.1086/260619.
  • Sun, Y., Liu, X., Chen, G., Hao, Y., & Zhang, Z. J. (2020). How mood affects the stock mar- ket: Empirical evidence from microblogs. Information...
  • Torres Pru~nonosa, J., & Coca P erez, J. L. (2005). Un an alisis empírico de los factores determinantes de la revalorizaci on de la filatelia...
  • Wilson, R. L., & Sharda, R. (1994). Bankruptcy prediction using neural networks. Deci- sion Support Systems, 11(5), 545–557. doi:10.1016/0167-9236(94)90024-8.
  • Yu, L., Lai, K. K., & Wang, S. Y. (2006). Currency crisis forecasting with general regres- sion neural networks. International Journal...
  • Zhang, C. Y. (2014). Vacation behaviours and seasonal patterns of stock market returns. FMA Working Paper.