The advancement in the field of statistical methodologies to economic data has paved its path towards the dire need for designing efficient military management policies. India is ranked as the
Generating unfavourable VaR scenarios with patchwork copulas. (arXiv:2011.06281v1 [q-fin.RM])
The central idea of the paper is to present a general simple patchwork construction principle for multivariate copulas that create unfavourable VaR (i.e. Value at Risk) scenarios while maintaining given
Assessing the attraction of cities on venture capital from a scaling law perspective. (arXiv:2011.06287v1 [physics.soc-ph])
Cities are centers for the integration of capital and incubators of invention, and attracting venture capital (VC) is of great importance for cities to advance in innovative technology and business
Sentiment Diffusion in Financial News Networks and Associated Market Movements. (arXiv:2011.06430v1 [cs.SI])
In an increasingly connected global market, news sentiment towards one company may not only indicate its own market performance, but can also be associated with a broader movement on the
Contingent Capital with Stock Price Triggers in Interbank Networks. (arXiv:2011.06474v1 [econ.GN])
This paper studies existence and uniqueness of equilibrium prices in a model of the banking sector in which banks trade contingent convertible bonds with stock price triggers among each other.
Prospects and challenges of quantum finance. (arXiv:2011.06492v1 [q-fin.CP])
Quantum computers are expected to have substantial impact on the finance industry, as they will be able to solve certain problems considerably faster than the best known classical algorithms. In
Data driven partition-of-unity copulas with applications to risk management. (arXiv:1703.05047v4 [q-fin.RM] UPDATED)
We present a constructive and self-contained approach to data driven general partition-of-unity copulas that were recently introduced in the literature. In particular, we consider Bernstein-, negative binomial and Poisson copulas
Dirichlet policies for reinforced factor portfolios. (arXiv:2011.05381v1 [q-fin.PM])
This article aims to combine factor investing and reinforcement learning (RL). The agent learns through sequential random allocations which rely on firms’ characteristics. Using Dirichlet distributions as the driving policy,
The Solution of the Equity Premium Puzzle. (arXiv:2011.05458v1 [q-fin.GN])
In this paper, the solution of the equity premium puzzle was given. First, the Arrow-Pratt measure of relative risk aversion for detecting the risk behavior of investors was questioned, and
Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems. (arXiv:2011.05588v1 [cs.NE])
In tis paper we consider approaches for time series forecasting based on deep neural networks and neuro-fuzzy nets. Also, we make short review of researches in forecasting based on various
