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Yayın Oil price uncertainty, global industry returns and active investment strategies(Elsevier B.V., 2020-11) Demirer, Rıza; Yüksel, Aydın; Yüksel, AslıThis paper shows that time-varying oil return volatility predicts regime transitions across a majority of global stock sectors, particularly for durables, financials, industrials, oil & gas, telecommunications and utilities. Global stock sectors yield significantly higher returns during periods of low oil market uncertainty and an active, forward-looking investment strategy conditional on the state of oil market volatility yields significantly positive excess returns even after adjusting for systematic risk exposures. The findings show that the predictive information captured by oil market fundamentals can be utilized in active sector rotation strategies.Yayın The U.S. term structure and return volatility in emerging stock markets(Springer, 2020-05-29) Demirer, Rıza; Yüksel, Aslı; Yüksel, AydınThis paper examines the predictive power of the U.S. term structure over return volatility in emerging stock markets. Decomposing the term structure of U.S. Treasury yields into two components, the expectations factor and the maturity premium, we show that the U.S. term structure indeed contains predictive information over emerging stock market volatility, even after controlling for country specific factors including turnover and market size. While we observe heterogeneous patterns across emerging markets in terms of their predictability with respect to the U.S. term structure, we find that the market’s expectation of future short term rates, implied by the expectations factor, serves as a stronger predictor of stock market volatility compared to the maturity premium component of the yield spread. We also find that the U.S. term structure has gained further predictive value following the global financial crisis, particularly for the BRICS nations of China, Russia, and S. Africa. Overall, our findings suggest that policymakers and investors can utilize interest rate signals from the U.S. Treasury yields to make projections over stock market volatility in their local markets, however, distinguishing between the two components of the yield curve could provide additional forecasting power depending on the country of focus.Yayın The impact of expectations on the co-integration relationship between the stock and REIT markets(Inderscience Publishers, 2022-06-29) Ümit, Erol; Yüksel, Aydın; Yüksel, Aslı; Öztürk, HakkıThis paper examines if expectations have a significant impact on the co-integration relationship between stock and real estate investment trust markets. We use two widely followed expectation indicators which are the US yield spread and the expected US stock market volatility (VIX) to test this hypothesis. The US yield spread is decomposed into two components which are the expected short-term interest rate (EF) and a variable term premium (TP) using Hamilton-Kim algorithm. A dataset covering ten developed markets is used. Using co-integration score analysis our findings indicate that expected US short-term interest rates and expected US stock market volatility have a statistically significant and positive impact on the global co-integrations of different countries. This effect is especially valid in the post-global financial crisis period. The expectation-based indicators EF and VIX, however, do not seem to have a significant impact on co-integration at regional and local levels.Yayın A note on the examination of the fisher hypothesis by using panel co-integration tests with break(Institute foe Economic Forecasting, 2016) Omay, Tolga; Hasanov, Mübariz; Yüksel, Aslı; Yüksel, AydınOne problem encountered when examining the Fisher hypothesis is that various policy changes and economic shocks may induce structural shifts in the long-run relation. We explore the argument that panel cointegration tests based on common correlated effect estimators have reasonably good power and size properties, even in the presence of structural breaks, if the timing of structural shifts roughly coincide to each other across individual group members. Using the data from Omay et al. (2015), which pays special attention to cross-section dependence issue but ignores the possibility of structural break in the data, we provide support to the argument above.
