A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Develops inequalities for high-dimensional linear processes with dependent innovations.
There has been considerable advance in understanding the properties of sparse regularization procedures in high-dimensional models. In time series context, it is mostly restricted to Gaussian autoregressions or mixing sequences. We study oracle properties of LASSO estimation of weakly sparse vector-autoregressive model…
New framework IIA identifies innovations in general nonlinear vector autoregressive processes.
The present research aims to highlight the main factors influencing the development of entrepreneurial innovation in a rural environment and to perform an empirical study with the purpose of assessing the main problems in rural development. The research performed is mostly of a quantitative nature, being based on the u…
This study revisits Fama-French models using sample innovations to address misinterpretation of high R-squared values.
The idea of Innovation Search was proposed as a data clustering method in which the directions of innovation were utilized to compute the adjacency matrix and it was shown that Innovation Pursuit can notably outperform the self representation based subspace clustering methods. In this paper, we present a new discovery …
In this paper, we present the results of Monte Carlo simulations for two popular techniques of long-range correlations detection - classical and modified rescaled range analyses. A focus is put on an effect of different distributional properties on an ability of the methods to efficiently distinguish between short and …
Innovative extensions to option pricing models using asymmetric Brownian motion and random walk approaches.
Generative models learn rules at different timescales, revealing a 'innovation window'.
Conventional economic analysis of stringent climate change mitigation policy generally concludes various levels of economic slowdown as a result of substantial spending on low carbon technology. Equilibrium economics however could not explain or predict the current economic crisis, which is of financial nature. Meanwhi…
Paper improves MFC algorithm for clustering linear subspaces.
A new robust PCA method uses Innovation Search and Leverage Scores.
IAE extracts innovations sequences for non-Gaussian processes.
Modeling government intervention's impact on company market technology growth.
For long time the measurement of innovation has been in the forefront of policy makers' and researchers' agenda worldwide. Therefore, there is an ongoing debate about which indicators should be used to measure innovation. Recent approaches have favoured the use of composite innovation indicators. However, there is no c…
Despite recent innovations in network architectures and loss functions, training RNNs to learn long-term dependencies remains difficult due to challenges with gradient-based optimisation methods. Inspired by the success of Deep Neuroevolution in reinforcement learning (Such et al. 2017), we explore the use of gradient-…
Machine learning models predict which ideas will be innovated based on subjective perspectives.
When the full stock of a new product is quickly sold in a few days or weeks, one has the impression that new technologies develop and conquer the market in a very easy way. This may be true for some new technologies, for example the cell phone, but not for others, like the blue-ray. Novelty, usefulness, advertising, pr…
Margin trading and short selling boost green tech innovation in China.
Innovation is among the key factors driving a country's economic and social growth. But what are the factors that make a country innovative? How do they differ across different parts of the world and different stages of development? In this work done in collaboration with the World Economic Forum (WEF), we analyze the …
Nanotechnology is the first major worldwide research initiative of the 21st century and probably is the solution vector in the economic environment. Also, innovation is widely recognized as a key factor in the economic development of nations, and is essential for the competitiveness of the industrial firms as well. Pol…
The analysis of the theoretical material revealed the lack of consensus on defini-tion of the tax stimulation of innovation-active business entities within the re-gional taxation. The definition tax stimulation of innovation-active business en-tities is specified.
Study a dual risk model with innovation delays, focusing on ruin probability and time.
A two-variable model is developed to forecast the probability of recession in the U.S. economy. Like many others, the model uses data a year or more old to explain movements of a dichotomous dependent variable for recession. The innovation of the present effort is the introduction of a confidence variable, which appear…
We consider a network of interacting agents and we model the process of choice on the adoption of a given innovative product by means of statistical-mechanics tools. The modelization allows us to focus on the effects of direct interactions among agents in establishing the success or failure of the product itself. Mimic…
The paper explores how innovative financing solutions boost Moroccan businesses' performance.
We consider strictly stationary heavy tailed time series whose finite-dimensional exponent measures are concentrated on axes, and hence their extremal properties cannot be tackled using classical multivariate regular variation that is suitable for time series with extremal dependence. We recover relevant information ab…
The paper introduces CoCoCat bonds for multi-region natural catastrophes, accounting for complex dependencies.
A new model predicts financial volatility across firms using spatial correlations.
Model shows how diversity on corporate boards influences decision-making and innovation.
Study analyzes climate-tech investments across 14 sectors.
Innovation is to organizations what evolution is to organisms: it is how organisations adapt to changes in the environment and improve. Governments, institutions and firms that innovate are more likely to prosper and stand the test of time; those that fail to do so fall behind their competitors and succumb to market an…
Study reveals similarities in knowledge flows between pharmaceutical and AI industries.
Prior work finds a diversity paradox: diversity breeds innovation, and yet, underrepresented groups that diversify organizations have less successful careers within them. Does the diversity paradox hold for scientists as well? We study this by utilizing a near-population of ~1.2 million US doctoral recipients from 1977…
Paper presents methods to create stock price confidence intervals using LSTM models.
Deep learning detects novel changes in time series data.
Study shows how sentiment shocks affect equity markets, revealing asymmetries and state-dependent effects.
The paper shows robustness and generalization are closely connected via data-dependent bounds.
Green startups in Italy survive longer than non-green ones.
Tool uses text mining to define innovative tech fields from abstracts.
Many practical modeling problems involve discrete data that are best represented as draws from multinomial or categorical distributions. For example, nucleotides in a DNA sequence, children's names in a given state and year, and text documents are all commonly modeled with multinomial distributions. In all of these cas…
GPDFlow models extreme threshold exceedance with flexible dependence using normalizing flows.
Proposes CE-BASS for robust Kalman filtering with innovative and additive outliers.
Research shows eco-innovation boosts earnings management, especially in constrained firms.
Generative neural networks model multivariate time series data.
Study finds short-term instability in financial ARCH models.
This paper analyzes the connection between innovation activities of companies -- implemented before crisis -- and their performance -- measured at time of crisis. The companies listed in the STAR Market Segment of the Italian Stock Exchange are analyzed. Innovation is measured through the level of investments in total …
Algorithm reduces regret in multi-player bandits with unknown collision rewards.