This paper presents a tractable model of non-linear dynamics of market returns using a Langevin approach.Due to non-linearity of an interaction potential, the model admits regimes of both small and large return fluctuations. Langevin dynamics are mapped onto an equivalent quantum mechanical (QM)...

The aim of this study is to investigate the volatility spillover connectedness between NFTs attention and financial markets. This paper firstly proposes a new direct proxy for the public's attention in the NFT market: the non-fungible tokens attention index (NFTsAI), based on 590m news stories...

Classical quantitative finance models such as the Geometric Brownian Motion or its later extensions such as local or stochastic volatility models do not make sense when seen from a physics-based perspective, as they are all equivalent to a negative mass oscillator with a noise. This paper...

By computing a volatility index (CVX) from cryptocurrency option prices, we analyze the market's expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative...

This research examines voluntary financial communication on the Internet by companies quoted on Brussels' unregulated markets. In the absence of obligation to communicate, we wish to know if companies quoted on these markets are proactive regarding financial disclosure on their website? We also...

Benoit Mandelbrot (1924-2010), a pioneering mathematician, created a new awareness of the chaos of nature - its randomness, irregular shapes, sharp edges, corners, and gaps. He developed the theory of fractals to describe these phenomena, and he also applied his concepts to financial markets....

When trading the oil market an artificial intelligent system utilizing cortical and subcortical computing can perform better than a buy and hold strategy between Jan 3, 2005 through April 21, 2015. A cortical and subcortical algorithmic system can recognize patterns in a dataset, and therefore...

We introduce a “bad environment-good environment” (BEGE) technology for consumption growth in a consumption-based asset pricing model with external habit formation. The model generates realistic non-Gaussian features of consumption growth and fits standard salient features of asset prices...

The Global Financial Crisis (GFC) changes the relative economic riskiness and risk-adjusted-performance of different asset markets. While the empirical distribution for stock return shifted to the right and became more concentrated around the mean after the GFC, the real estate market...