Purpose: Investigation of the relation between firms' values and aviation fuel hedging activities via a dynamic panel data methodology for the major U.S. passenger airlines during the period 2002-2011. Design/methodology/approach: We use data from nine U.S. major passenger airlines representing...

Purpose: Investigation of the relation between firms’ values and aviation fuel hedging activities via a dynamic panel data methodology for the major U.S. passenger airlines during the period 2002-2011. Design/methodology/approach: We use data from nine U.S. major passenger airlines...

Purpose: This study aims to investigate the impact of aggressive monetary policy in terms of inflation on the effects of structural shocks over macroeconomic fundamentals in Turkey. For this purpose, we estimate the basic new Keynesian model by using the Bayesian method for the period of 2000Q1...

We study the behavior of solutions for stochastic differential equations such as the Heston stochastic volatility model. We examine the numerical solutions using Euler–Maruyama, Milstein and stochastic Runge–Kutta methods to investigate whether there is a role of the methods for different...

It is important to analyze extreme cases of stock return, interest rate and speed of mean reversion together. While we explore strengths and limitations of Heston stochastic volatility model based on behavior of its numerical solutions using Milstein method simulations, we suggest model...

I study the stability analysis of the solutions for the dynamical system of nonlinear asset flow differential equations (AFDEs) in three versions. I show that the previous two versions are not structurally stable mathematically because there are infinitely many critical points. It is important...

In this study I apply forward sensitivity analysis to the dynamical system of nonlinear asset flow differential equations (AFDE). I find that all parameters in AFDE are needed and can be estimated from market prices and net asset values data. Moreover, the market price is the most fluctuating...

We study overreaction and the cumulative effect of the consecutive local overreaction patterns in financial markets. The 'overreaction diamond' pattern [1] is one of the key components of a financial market bubble. The cumulative effect of the consecutive short term overreactions arising from...

We study a real data set of 7,894,947 patients who received service from the University of Michigan Health System (UMHS) from January 1, 2003 to December 31, 2008 using regression analysis to understand the dynamics of patient volume. Our objective is to find out patterns from time series of...