The empirical distribution of daily returns from financial market variables such as exchange rates, equity prices, and interest rates, is often skewed, having one heavy, and one semiheavy, or more Gaussian-like tail. The NIG distribution, that has two semi-heavy tails, models skewness rather well, but only in cases where the tails are not too heavy. On the other hand, the skew Student’s t-distr...

We analyze complexity of financial (and general economic) processes by comparing classical and quantum-like models for random-ness. Our analysis implies that it might be that a quantum-like prob-abilistic description is more natural for financial market than the classical one. A part of our analysis is devoted to study the possibility of application of the quantum probabilistic model to agents ...

The recent financial crisis has forced a rethink of banking regulation and supervision and the role of financial innovation. We develop a model where prudent banks may signal their type through high capital ratios. Capital regulation may ensure separation in equilibrium but deposit insurance will tend to increase the level of capital required. If supervision detects risky behaviour ex ante then...

The topic of modelling financial market price movements is in the heart of a wide ranging debate between fundamentalists and behaviourists. Therefore, the difficulty of the prediction is due to several features: the complexity, the non-linearity and the dynamism of the financial market system, as well as the behaviour of two categories of traders. While the irrational traders are known by a shi...

Several techniques of fundamental physics like quantum mechanics, field theory and related tools of non-commutative probability, gauge theory, path integral etc. are being applied for pricing of contemporary financial products and for explaining various phenomena of financial markets like stock price patterns, critical crashes etc.. In this paper, we apply the well entrenched methods of quantum...

The efficient market hypothesis (EMH) fails as a valid model of financial markets. The fractal market hypothesis (FMH) is a more general alternative way to the EMH. The FMH is formed on the following parameter space: agents’ investment horizons. A financial market is more stable when a fractal character in the structures of agent’s investment horizons is adopted. For computer simulations, the c...