Abstract
Fluctuations in housing and stock markets affect economic growth, thus causing socio-economic changes in economies. In this context, examining the temporal variations of causality relations in these markets has become a necessity for investors and policymakers, as it provides useful insights in terms of understanding the nature of the inter-market information flows. The main purpose of this study is to reveal the time-based and scale-based causality information flow between housing price and stock market index, and to find evidence for both whether and when theories regarding the relationship between housing and stock markets are valid empirically by using the empirical approach proposing the use of SPH and CWTC tests. Through using the CWTC (Continuous Wavelet Transformation Based Granger Causality Test) and SPH, which allow for the analysis of non-stationary data directly, evidence that the causality between the housing and stock markets varies over time and has dynamics varying based on the time scale is found in this study. Moreover, results indicate that structural changes exist in the causality relationship. The growth model, Central Bank of Turkey (CBT) interest rate policy, Federal Reserve Bank (FED) interest policy, geopolitics risk factors and pandemics are possible factors affecting the causality relationship.