TY - JOUR TT - ANALYSIS OF THE RELATIONSHIP BETWEEN GOLD PRICES AND ISE 100 INDEX THROUGH BAYES THEOREM FRAMEWORK AU - Ilarslan, Kenan PY - 2017 DA - December DO - 10.17261/Pressacademia.2017.740 JF - PressAcademia Procedia JO - PAP PB - Suat TEKER WT - DergiPark SN - 2459-0762 SP - 24 EP - 28 VL - 6 IS - 1 KW - Assets prices KW - gold prices KW - ISE 100 KW - Bayes Theorem KW - financial prediction N2 - Objective-In the context of finance theory, predictingthe return / price or movements of financial assets over the historic dataprovides elemination of the uncertainty and make such assets manageable.Therefore, modeling the financial asset behaviors with objective and scientificmethods greatly contribute to reduce and manage the risk. In this study, thedirection of the relationship between the Gold prices and the BIST 100 indexwas determined and tried to be estimated within a certain probability and how the change in the Gold prices in theBayes Theorem would be reflected in the BIST 100 index. Methodology-Variables used in the study are the bulliongold gram sale price and BIST 100 index and the monthly closing prices of thementioned variables are used as data set for the 18 years (2000: 01-2017: 07)period. The data were compiled from the official website of the Central Bank ofthe Republic of Turkey. E-Views 9 SV program was used for statistical analysisof data. During the methodological process, statistical methods such as PearsonCorrelation Analysis and Bayes Theorem were used. Findings-In the study, it was found that positive correlation (0,91) exist betweenthese two financial assets. In addition, thesignificance of the correlation coefficient at the 5% significance level wastested and it was determined that there was a significant correlation betweenthe Gold prices and the BIST 100 index.At a later stage, it was tried to estimate with certain probability, howthe BIST 100 index would react to an increase in gold prices. As a result ofthe analysis carried out in the framework of the Bayes theorem, it is foundthat increase of the gold prices will also lead to increase the BIST 100 indexwith 52.1% probability.Conclusion-It is important, valuable and necessary forinvestors to make accurate and on-the-spot decisions, especially in uncertaintyand risk environment in the markets. If this uncertainty is managed by beingreduced to a measurable risk level, it offers the opportunity to provideextraordinary returns or to minimize losses for individual and / orinstitutional investors. Working with scientific data and methods tounderstand, mitigate and manage the future risks of assets in this frameworkmakes a significant contribution to the success of risk management strategiesimplemented by financial institutions. In this context, a positively andstatistically significant relationship was found between gold price and BIST100 index in the study. Moreover, in the case of an increase in gold prices,the BIST 100 index will increase too with 52.1% probability. CR - Açıkalın, S. ve Başçı, E.S. (2016). Cointegration and causality relationship between bıst 100 and bist gold ındices. Yönetim ve ekonomi, cilt. 23, sayı.2, s. 565-574. CR - Basit, A. (2013). Impact of kse-100 index on oil prices and gold prices in Pakistan. IOSR journal of business and management vol.9, no.5, p.66-69. CR - Doğru, B. ve Uysal, M. (2015). Bir yatırım aracı olarak altın ile hisse senedi endeksi arasındaki ilişkinin analizi: Türkiye üzerine ampirik uygulama. Çukurova üniversitesi sosyal bilimler enstitüsü dergisi, cilt.24, sayı.1, s.239-254. CR - Gayathri, V. ve Dhanabhakyam, D. (2014). Cointegration and causal relationship between gold price and nifty – an empirical study. Journal of research in management & technology, vol.3, no. 7, p. 14-21. CR - Gilmore, C.G., Mcmanus, G.M., Sharma, R. ve Tezel, A. (2009). The dynamics of gold prices, gold mining stock prices and stock market prices comovements. Research in applied economics, vol. 1, no.1, p. 1-19. CR - İlarslan, K. (2017). Altın fiyatları ile borsa endeksi arasında eş bütünleşme ve nedensellik ilişkisi, Avrasya sosyal ve ekonomi araştırmaları dergisi, cilt. 4, sayı.6, s. 114-125. CR - Kothari, A. ve Gulati, D.(2015). Investment in gold and stock market: an analytical comparison. Pacific business review international, vol. 7, no. 9, p. 65-68. CR - Le, T.H. ve Chang, Y. (2016). Dynamics between strategic commodities and financial variables: evidence from japan. Resources policy, vol. 50, p. 1-9. CR - Mishra, P. K. (2014). Gold price and capital market movement in India: the toda–yamamoto approach. Global business review, vol. 15, no.1, p. 37-45. CR - Öncü, M.A., Çömlekçi, İ., Yazgan, H.İ. ve Bar, M. (2015). Yatırım araçları arasındaki eş bütünleşme (bist100, altın, reel döviz kuru). Aibü sosyal bilimler enstitüsü dergisi, cilt. 15, s. 43-57. CR - Patel, S.A. (2013). Causal relationship between stock market ındices and gold price: evidence from India. The IUP journal of applied finance, vol. 19, no. 1, p. 99-109. CR - Rachev, S.T., Hsu, J.S, Bagasheva, B.S. ve Fabozzi, F.J. (2008). Bayesian Methods in Finance. NJ, USA: John Wiley Sons CR - Sharma, g.d. ve Mahendru, M. (2010). Impact of macro-economic variables on stock prices in India. Global journal of management and busines research, vol.10, no.7, p. 19-26. CR - Tripathi, L.K., Parashar, A. ve Singh, R. (2014). Global factors & gold prıce in India- a causal study. International journal of advanced research in management and social sciences, vol.3, no. 7, p. 161-18 UR - https://doi.org/10.17261/Pressacademia.2017.740 L1 - https://dergipark.org.tr/en/download/article-file/392960 ER -