50+ Years of Diversification Announcements

This paper studies announcement returns from 4,764 mergers over 57 years to shed light on several controversies concerning corporate diversification. One prominent view is that diversification destroys value because of agency problems or internal investment distortions, but we find that combined (acquirer plus target) announcement returns are significantly positive for diversifying mergers throughout the period, and no lower than the returns for related mergers. The returns from diversifying acquisitions fell after 1980, and investors rewarded mergers involving financially constrained firms before but not after 1980, consistent with the idea that the value of internal capital markets declined over time.     

The determinants of Turkey's exports to Islamic countries: The impact of political risks

Using the traditional gravity model, this paper aims to analyze the determinants of Turkish exports to 43 Islamic Development Bank member countries for the period from 1996 to 2015. The paper specifically investigates the effects of 12 political risk measures (bureaucracy quality, corruption, democratic accountability, government stability, internal and external conflict, investment profile, law and order, military in politics, religious and ethnic tensions, and socioeconomic conditions) in the importing countries on the total volume of exports of Turkey. After implementing various robustness checks, the paper finds that the government instability in the importing countries is negatively associated with the Turkish exports.     

Causal effects of the United States and Japan on Pacific-Rim stock markets: nonparametric quantile causality approach

This article adopts a nonparametric quantile causality approach to examine the causal effects of the U.S. and Japan stock markets on the stock markets of the Pacific-Rim region. This approach allows us to detect not only nonlinear causalities in conditional return (mean) and conditional volatility (variance) but also the asymmetries of causalities under extreme market conditions (bullish vs. bearish states). Our results provide significant evidence of causality in return and volatility at different points of the conditional distributions of returns, with the greater effects from the U.S. than from Japan. Asymmetric quantile causality patterns are particularly pronounced in the case of Japan.     

Did Baltic stock markets offer diversification benefits during the recent financial turmoil? Novel evidence from a nonparametric causality-in-quantiles test

Motivated by financial liberalization investors seek for new investment opportunities through international portfolio diversification. To this end we explore any asymmetric causal relationship between developed European stock markets (Germany, France and UK) and emerging Baltic markets namely; Estonia, Latvia and Lithuania. Our analysis focuses on the period before and after countries’ EU accession and pre- and post the global financial crisis. For this purpose, both the standard parametric test for causality and a novel nonparametric test for causality-in-quantiles are employed. The results of both the parametric and nonparametric Granger causality test support a causal relationship in mean that runs from all of the major markets to the Baltic markets across both samples. The results imply the existence of significant nonlinear return and volatility spillover from European markets to Baltic markets. Policy implications for international investors are also discussed.     

Monetary shocks,exchange rates and trade balances: Evidence from inflation targeting countries

This paper investigates the relationship among monetary policy shocks, exchange rates and trade balances in five Inflation Targeting Countries (ITCs). The investigation is based on Structural Vector Error Correction Models (SVECMs) with long run and short run restrictions. The findings reveal that a contractionary monetary policy shock leads to a decrease in price level, a decrease in output, an appreciation in exchange rate, and an improvement in trade balance in the very short run. Our findings contradict the findings of price, output, exchange rate and trade puzzles that have been found in many empirical studies. Furthermore they are consistent with the theoretical expectations regarding the effect of a contractionary policy. The only long run restriction that we imposed on our models is that money does not affect real macroeconomic variables in the long run, which is consistent with both Keynesian and monetarist approaches.     

Import-content of exports and J-curve effect

This article investigates how the response to devaluation of trade balance is affected, compared to J-curve hypothesis, by the presence of imported inputs in the production of exports. Using first the Almon lag technique and then the cointegration and the generalized impulse response function analysis, the J-curve effect is examined in two sectors of Turkish economy (manufacturing and mining), which use imported inputs at different rates. Based on the data covering the period from the first quarter of 1986 to the third quarter of 1998, our results indicate that in neither sector J-curve exists and that the violation of the J-curve effect is more severe in the sector with higher import content     

Asset prices and expected monetary policy: evidence from daily data

This article explores the relationships among Libor, gold prices, the exchange rate, oil prices, fed funds futures prices and stock prices at a daily frequency. This article examines whether expected monetary policy, measured by changes in the prices of fed funds futures contracts, reacts to high frequency changes in asset prices and, in turn, whether asset prices respond to changes in expected monetary policy. The article reveals that there are statistically significant relationships between expected US monetary policy and shocks to Libor and exchange rates. It also reveals that there is no evidence of a systematic relationship between stock prices and expected monetary policy changes. Splitting the data into expansionary and recessionary periods using NBER dating, we find results for the expansionary periods that are very similar to the results for the entire period. For the periods of recession, we find little evidence of significant linkages between markets.     

Was the recent downturn in US real GDP predictable?

This article uses a small set of variables – real GDP, the inflation rate and the short-term interest rate – and a rich set of models – atheoretical (time series) and theoretical (structural), linear and nonlinear, as well as classical and Bayesian models – to consider whether we could have predicted the recent downturn of the US real GDP. Comparing the performance of the models to the benchmark random-walk model by root mean-square errors, the two structural (theoretical) models, especially the nonlinear model, perform well on average across all forecast horizons in our ex post, out-of-sample forecasts, although at specific forecast horizons certain nonlinear atheoretical models perform the best. The nonlinear theoretical model also dominates in our ex ante, out-of-sample forecast of the Great Recession, suggesting that developing forward-looking, microfounded, nonlinear, dynamic stochastic general equilibrium models of the economy may prove crucial in forecasting turning points.     

An efficient privatization mechanism

We consider the privatization of State-Owned Enterprises (SOEs) of which markets can be opened to competition once privatization takes place and competitors can compete successfully against them in a few years. The currently used “Revenue Maximization (RM)” scheme maximizes the government revenue from privatization but does not provide incentives for the privatized SOE to charge a price lower than the monopoly price until competition arises. We propose the “Welfare Maximization (WM)” scheme, which induces the privatized SOE to charge a competitive price without resorting to regulation. Also, WM provides greater incentives for post-privatization cost reduction.     

Capacity inefficiencies of teaching and non-teaching hospitals

This paper investigates capacity-based inefficiency causes and the existence of any differences between the improvement processes of teaching and non-teaching hospitals. In an effort to comparatively evaluate the inefficiency causes of hospitals in Turkey, this study uses data envelopment analysis (DEA). DEA can simultaneously assess the relationship between capacity (physical capacity and medical labor capacity) as inputs and the utilization of capacity (utilization of institution capacity for patients, utilization of physical capacity, and utilization of technological capacity) as outputs. In addition, the Malmquist productivity index (MPI) is used to analyze the patterns of efficiency change for the study years from 2001 to 2007. Several improvement suggestions have been provided to health care policy makers regarding inefficiency causes and ways of optimizing hospital efficiency.