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The novel coronavirus (COVID-19) has revealed profound and disproportionate effects not only on global financial markets but also on commodity markets. Considering the potential safe-haven role of gold as a vital commodity against economic turmoils and uncertainties; in this study, it has been aimed to investigate the long run impacts and short-run dynamics of the COVID-19 related variables (daily new confirmed cases in the world and U.S., COVID-19 Containment & Health Index) and different macro-financial factors on daily COMEX gold futures contracts prices, especially presenting a comparative analysis with respect to various sectoral stock indexes associated with S&P 500 and Dow Jones -including Health Care, Technology, Medical Equipment, Financials, Industrials, Information Technology and Energy sectors-for the sample period 10.03.2020-22.03.2021 by utilizing from Autoregressive Distributed Lag (ARDL) approach. Analysis results are of great importance in forming crucial policy implications about by which factors and sectoral stocks gold prices are being influenced the most. Consequently; Dow-Jones Financials, S&P 500 Industrials and S&P 500 Energy stock indexes can be said to have a significant impact on gold prices in the long run at 10% significance level. In the models containing these indexes, CBOE volatility index affects gold prices inversely while WTI oil prices have no impact on gold prices. In the long term, the weakest findings in terms of coefficient significancies have been obtained for the model which includes S&P 500 Energy stock index returns. Furthermore, daily new cases in the world -contrary to the cases in U.S.-generally affect gold prices. [ABSTRACT FROM AUTHOR]

The rapid development of information technologies has led to the formation of a "big data" network by increasing the coverage area of the internet network. The use of big data has gained importance in many fields from science to industry, from the private sector to the public. The use of this big data makes the users of the data advantageous compared to their competitors. The aim of this study is to examine the causality relationship between the data obtained from Google Trends, which presents the search frequency of the keyword searched in the Google search engine and the course of gold prices. The data set of the study includes monthly data on the search frequency of the keyword "gold" in the Google search engine within the borders of Turkey between 01.01.2004 and 01.12.2021. In the study, the stationarity of the variables was analyzed, and then the Johansen Cointegration test was used to determine the long-term relationship between the variables. At the last stage, Granger Causality Analysis was performed. As a result of the study, one-way Granger causality towards gold prospecting was determined. [ABSTRACT FROM AUTHOR]