High-dimensional regression problems which reveal dynamic behavior are typically analyzed by time propagation of a few number of factors. The inference on the whole system is then based on the low-dimensional time series analysis. Such highdimensional problems occur frequently in many different...

The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied Volatility Surface (IVS). Practical applications require reducing the dimension and characterize its dynamics through a small number of factors. Such dimension reduction is...

Empirical studies have shown that a large number of financial asset returns exhibit fat tails and are often characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in market volatility, with significant impact on pricing and...

Dimension reduction techniques for functional data analysis model and approximate smooth random functions by lower dimensional objects. In many applications the focus of interest lies not only in dimension reduction but also in the dynamic behaviour of the lower dimensional objects. The most...

Pricing kernels play a major role in quantifying risk aversion and investors' preferences. Several empirical studies reported that pricing kernels exhibit a common pattern across different markets. Mostly visual inspection and occasionally numerically summarise are used to make comparison. With...

The analysts and evaluators in the financial market needs to risk free rate return (RFRR) to take the financing and investment decisions. This paper aims to study and analyze the causal relationship between Euribor rate and stock prices in the Arab stock exchanges, at level of nine Arab stock...

This paper proposes a new approach to estimate general stationary diffusion processes that describe the evolution of unobserved arrival rates of credit events on sovereign bonds, allowing for arbitrary parametric drift and diffusion specifications. The solutions and transition processes for...

This study explores the association between stock prices, metal prices and economic activity, i.e. industrial production, for the Turkish economy for the period 1896M1-2016M12. The linear and non-linear analysis is conducted by applying the autoregressive distributed lag (ARDL) and non-linear...

Recent empirical literature shows that Internet search activity is closely associated with volatility prediction in financial and commodity markets. In this study, we search for a benchmark model with available market-based predictors to evaluate the net contribution of the Internet search...

A new alternative diffusion model for asset price movements is presented. In contrast to the popular approach of Brownian motion it proposes deterministic diffusion for the modelling of stock price movements. These diffusion processes are a new area of physical research and can be created by the...