An analysis of snow options for ski resort establishments

This study proposes a pricing method for put options on snow level for tourism establishments operating in Palandoken ski resort in the east of Turkey. In the calculation of put prices historical densities and Edgeworth adjusted densities methods together with Alaton, Djehiche, and Stillberger (2002) method have been applied. The findings show that there may be significant differences in the prices calculated by the three different methods, hence enabling both parties, i.e. buyers and sellers, with bases in the negotiation process. As the study is primarily aimed at providing a framework for pricing put options on snow levels in general, it is expected that it would be of use not only for this particular ski resort but also for various ski resorts in the world.     

Global financial conditions,country spreads and macroeconomic fluctuations in emerging countries

This paper uses a panel structural vector autoregressive (VAR) model to investigate the extent to which global financial conditions, i.e., a global risk-free interest rate and global financial risk, and country spreads contribute to macroeconomic fluctuations in emerging countries. The main findings are: (1) global financial risk shocks explain about 20% of movements both in the country spread and in the aggregate activity in emerging economies. (2) The contribution of global risk-free interest rate shocks to macroeconomic fluctuations in emerging economies is negligible. Its role, which was emphasized in the literature, is taken up by global financial risk shocks. (3) Country spread shocks explain about 15 percent of the business cycles in emerging economies. (4) Interdependence between economic activity and the country spread is a key mechanism through which global financial shocks are transmitted to emerging economies.     

Managing uncertainty in on-demand air travel

Fractional management companies (FMCs) that provide on-demand air travel services experience frequent changes in aircraft availability and flight requests. We propose scheduling heuristics which are both cost-effective and persistent (i.e., close to the original schedule) to address the uncertainty. The heuristics include pro-actively enforcing idleness of aircraft in creating the original schedule, strategically repositioning aircraft to serve yet-unknown demand and dense scheduling. Computational experiments are conducted in a simulator that mimics FMCs’ daily operations. Simulation results quantify the value of each heuristic, which can be easily incorporated into existing computational methods used in FMCs for static scheduling problems.     

The more contagion effect on emerging markets: The evidence of DCC-GARCH model

The paper aims to test the existence of financial contagion between foreign exchange markets of several emerging and developed countries during the U.S. subprime crisis. As a result of DCC-GARCH analysis, we find the evidence of contagion during U.S. subprime crisis for most of the developed and emerging countries. Another finding is that emerging markets seem to be the most influenced by the contagion effects during U.S. subprime crisis. Since financial contagion is important for monetary policy, risk measurement, asset pricing and portfolio allocation, the findings of paper may be interest of policy makers, investors and portfolio managers.     

Maximum likelihood estimation of stochastic volatility models

We develop and implement a method for maximum likelihood estimation in closed-form of stochastic volatility models. Using Monte Carlo simulations, we compare a full likelihood procedure, where an option price is inverted into the unobservable volatility state, to an approximate likelihood procedure where the volatility state is replaced by proxies based on the implied volatility of a short-dated at-the-money option. The approximation results in a small loss of accuracy relative to the standard errors due to sampling noise. We apply this method to market prices of index options for several stochastic volatility models, and compare the characteristics of the estimated models. The evidence for a general CEV model, which nests both the affine Heston model and a GARCH model, suggests that the elasticity of variance of volatility lies between that assumed by the two nested models.     

The effects of financial literacy on the borrowing behaviour of Turkish financial consumers

Our research attempts to measure the effects of financial literacy of Turkish financial consumers on the borrowing behaviour. A questionnaire is administered to a sample of 550 people in the city of Eskisehir. In‐depth interviews are undertaken with 10 financial consumers to support the findings. Findings of the study indicate differences in the borrowing behaviour of consumers with different levels of financial literacy. Considering the relationship between financial literacy and borrowing behaviour, we suggest that attempts to increase financial literacy of financial consumers may have important implications in the prevention of excessive borrowing.     

Distribution of run statistics in partially exchangeable processes

Let { X_i} _{i 3 1}{\{ X_{i}\} _{i\geq 1}} be an infinite sequence of recurrent partially exchangeable binary random variables. We study the exact distributions of two run statistics (total number of success runs and the longest success run) in { X_i} _{i 3 1}{\{ X_{i}\} _{i\geq1}} . Since a flexible class of models for binary sequences can be obtained using the concept of partial exchangeability, as a special case of our results one can obtain the distribution of runs in ordinary Markov chains, exchangeable and independent sequences. The results also enable us to study the distribution of runs in particular urn models.     

Fiscal Transparency,Fiscal Performance and Credit Ratings

Fiscal transparency can provide policymakers with incentives to adopt better policies by enhancing the public debate on the design and sustainability of fiscal policy and establishing accountability for their implementation. Fiscal transparency can also reduce uncertainty about fiscal policy and fiscal outturns by providing more information on the underlying fiscal position and fiscal risks. Both effects suggest that countries should benefit from adopting transparency enhancing policies through better market assessments of their sovereign risk. In this paper, we investigate whether fiscal transparency has an effect on market perceptions of sovereign risk, as measured by sovereign credit ratings, and if so, through which channels. We find that fiscal transparency has a positive and significant effect on ratings – one standard deviation increase in fiscal transparency increases credit ratings by 0.7 and 1 notches (or steps in the credit rating scale) in advanced and developing economies, respectively – but its effect works through different channels in advanced and developing economies. In advanced economies, fiscal transparency is associated with better fiscal outcomes, leading indirectly to higher credit ratings. In developing economies, the direct uncertainty‐reducing effect of fiscal transparency seems to be more important. Indeed, the effect of fiscal transparency on fiscal performance is found to increase with the level of institutional development.     

A theory of search with deadlines and uncertain recall

We ask how the ability to recall past prices affects the dynamics of search and price formation. In the model, buyers have limited time to purchase a good and face uncertainty regarding the availability of past price quotes in the future. Sellers cannot observe a potential buyer’s remaining time until deadline nor her quote history, and hence post prices that weigh the probability of sale versus the profit once sold. We find that, in contrast to conventional wisdom, reducing the consumer’s recall ability may actually improve his expected utility because it lowers the average expected price in the market and reduces the duration of search.     

Business Cycle Synchronization of Turkey with the Eurozone and the United States: What Has Changed Since 2001?

Using wavelet methodology, we make a detailed spectral analysis of the business cycle synchronization of the Turkish economy with the eurozone and the United States. We take into account the dramatic change in the main economic indicators in the Turkish economy after the 2001 financial crisis. We find that the correlation of Turkish cycles with the cycles of the eurozone and the United States increased substantially after 2001. Moreover, the correlation of the Turkish cycles with the U.S. cycles is not lower than that with the euro cycles after 2001. Accordingly, analyzing the effect of international developments should not be confined to the trade channel. We submit that capital flows offer a reasonable explanation for the high correlation with the United States.