Testing PPP hypothesis under temporary structural breaks and asymmetric dynamic adjustments

ABSTRACT

We test the empirical validity of the PPP proposition under temporary structural breaks and dynamic nonlinear adjustments. Although several testing procedures have recently been proposed in the existing literature to investigate stochastic properties of the series under gradual breaks and nonlinear adjustments, none of these tests are compatible with the PPP proposition. Therefore, we propose new testing procedures that restrict the break to be temporary while simultaneously allowing for asymmetric dynamic nonlinear adjustment towards equilibrium. Using these newly proposed tests, we test stationarity of real exchange rate of 24 OECD countries vis-à-vis USA, and find support in favour of PPP proposition in majority of the countries.     

Is real per capita state personal income stationary? New nonlinear,asymmetric panel-data evidence

This paper re-examines the stochastic properties of U.S. state real per capita personal income, using new panel unit-root procedures. The new developments incorporate non-linearity, asymmetry, and cross-sectional correlation within panel-data estimation. Including nonlinearity and asymmetry finds that 43 states exhibit stationary real per capita personal income whereas including only nonlinearity produces 42 states that exhibit stationarity. Stated differently, we find that two states exhibit nonstationary real per capita personal income when considering nonlinearity, asymmetry, and cross-sectional dependence.     

PREDICTING SYSTEMATIC RISK WITH MACROECONOMIC AND FINANCIAL VARIABLES

We analyze the predictive power of several macroeconomic and financial indicators in forecasting quarterly realized betas of 30 industry and 25 size and book-to-market portfolios. We model realized betas as autoregressive processes of order 1 and include lagged values of macroeconomic and financial indicators as exogenous predictor variables. In out-of-sample forecasting exercises, forecasts using bond market variables as exogenous predictors statistically outperform forecasts from a benchmark model without any exogenous predictors. These forecasts based on bond market variables also economically outperform benchmark forecasts by providing better performance in hedging the market risk of portfolios.     

Monetary policy implications of short-term capital flows in Turkey

The advent of global financial crisis in 2008, unleashed volatile short term capital flows to the emerging markets. This has forced many central banks in the developing world to adopt innovative policy measures to address concerns related to financial instability caused by the volatile nature of capital flows. In 2010 Turkish Central Bank included financial stability in addition to price stability as one of primary goals of its monetary policy. Several macro-prudential measures had been taken and ‘corridor system’ of setting the short-term policy rates had been introduced. In this paper, we have estimated an extended Taylor rule, using error correction model, to examine the impact of global financial factors in impacting the setting up of the policy rate in the pre and post 2010 periods in Turkey. It has been found that in the post-2010 period, global financial factors and monetary policy stance of the core economy, USA, have become major factor(s) in shaping up the monetary policy. Particularly our results of variance decomposition show that global financial indicators such as, VIX and EMBI have taken prominence in the setting of the short-term policy rate. This has not only made the domestic monetary more dependent on external factors but has also made pro-cyclical in nature.     

How do Expatriate Managers Draw the Boundaries of Moral Free Space in the Case of Guanxi?

Journal of Business Ethics - This paper explores expatriates’ ethical evaluations of and responses to guanxi in China through the lens of integrative social contracts theory. We conducted...     

Real interest rates: nonlinearity and structural breaks

Real interest rate is a crucial variable that determines the consumption, investment and saving behavior of individuals and thereby acts as a key policy tool that the central banks use to control the economy. Although many important theoretical models require the real interest rates to be stationary, the empirical evidence accumulated so far has not been able to provide conclusive evidence on the mean reverting dynamics of this variable. To resolve this puzzle we re-investigate the stochastic nature of the real interest rates by developing unit root tests for nonlinear heterogeneous panels where the alternative hypothesis allows for a smooth transition between deterministic linear trends around which stationary asymmetric adjustment may occur. When the newly developed panel unit root tests are applied to the real interest rates of the 17 OECD countries, we were able to uncover overwhelming empirical support in favor of mean reversion in the short-run and long-run real interest rates. Therefore, these results show that the conclusions drawn from a miss-specified test that ignores the presence of either nonlinearity, structural breaks or cross sectional dependence can give quite misleading results about the stochastic behavior of the real interest rates.     

Market development and market efficiency: evidence based on nonlinear panel unit root tests

This study tests the weak form market efficiency of 32 European stock markets. Utilizing monthly data from June 2006 to June 2017, six different, newly developed nonlinear panel root tests were applied in three different groups of European markets: Frontier, Emerging and Developed. The results show that there is a meaningful relationship between different levels of economic development and the weak form market efficiency. Considering the nonlinear structure of the stock market indices, use of linear models might lead to wrong conclusions regarding market efficiency. Using several nonlinear panel root tests, the results of this study shed more light on the true data generating process of the stock market indices and more appropriately model market efficiency.     

Revisiting FDI-led growth hypothesis: the role of sector characteristics

Does foreign direct investment (FDI) lead to higher growth? What type of FDI really works? In this paper, we disaggregate FDIs based on their technological characteristics and investigate which kind of FDI leads to output growth. The results for the sample of OECD countries during the period 1985–2012 indicate that FDI inflows to Information and Communication Technologies (ICTs) using and producing manufacturing and service sectors (ICT-based), non-ICT using and producing manufacturing and service sectors (non-ICT-based) and other sectors (non-ICT-other) play no role in contributing to economic growth. However, we provide evidence that absorptive capacities of host countries work through ICT-based FDI inflows. Only if the host countries have sufficient level of human capital, financial resources and technological infrastructure, ICT-based FDI will foster economic growth. The results are robust to controlling missing values, studying the subsample of emerging market economies and consideration of endogeneity.     

Systemic risk measurement: Multivariate GARCH estimation of CoVaR

We modify Adrian and Brunnermeier’s (2011) CoVaR, the VaR of the financial system conditional on an institution being in financial distress. We change the definition of financial distress from an institution being exactly at its VaR to being at most at its VaR. This change allows us to consider more severe distress events, to backtest CoVaR, and to improve its consistency (monotonicity) with respect to the dependence parameter. We define the systemic risk contribution of an institution as the change from its CoVaR in its benchmark state (defined as a one-standard deviation event) to its CoVaR under financial distress. We estimate the systemic risk contributions of four financial industry groups consisting of a large number of institutions for the sample period June 2000 to February 2008 and the 12 months prior to the beginning of the crisis. We also investigate the link between institutions’ contributions to systemic risk and their characteristics.     

Time-varying higher-order conditional moments and forecasting intraday VaR and Expected Shortfall

We estimate several GARCH- and Extreme Value Theory (EVT)-based models to forecast intraday Value-at-Risk (VaR) and Expected Shortfall (ES) for S&P 500 stock index futures returns for both long and short positions. Among the GARCH-based models we consider is the so-called Autoregressive Conditional Density (ARCD) model, which allows time-variation in higher-order conditional moments. ARCD model with time-varying conditional skewness parameter has the best in-sample fit among the GARCH-based models. The EVT-based model and the GARCH-based models which take conditional skewness and kurtosis (time-varying or otherwise) into account provide accurate VaR forecasts. ARCD model with time-varying conditional skewness parameter seems to provide the most accurate ES forecasts.