arXiv research

The paper analyzes sectoral diversity in startup ecosystems in Europe and the USA.

Study finds cryptocurrency market diversity patterns inconsistent with neutral models.

A motif-based framework identifies local spillover structures in financial markets.

Gradient-free ensemble learns sector forecasts from diverse models.

LSTM model predicts stock prices with high accuracy in stable sectors but struggles with volatile ones.

AI enhances financial forecasting with challenges in regulation and privacy.

Deep learning model optimizes portfolios by integrating news sentiment, stock relationships, and price data.

Study examines how social media sentiment impacts biotech stocks.

Designing efficient and robust algorithms for accurate prediction of stock market prices is one of the most exciting challenges in the field of time series analysis and forecasting. With the exponential rate of development and evolution of sophisticated algorithms and with the availability of fast computing platforms, …

The manufacturing sector is envisioned to be heavily influenced by artificial intelligence-based technologies with the extraordinary increases in computational power and data volumes. A central challenge in manufacturing sector lies in the requirement of a general framework to ensure satisfied diagnosis and monitoring …

What are East Africa's industrial opportunities? In this article we explore this question by using the Product Space to study the productive structure of five south-east African countries: Kenya, Mozambique, Rwanda, Tanzania and Zambia. The Product Space is a network connecting products that tend to be exported by the …

Framework ranks sectors influenced by Indian Union Budgets.

For a finitely generated discrete group $Γ$, the $Γ$-sectors of an orbifold $Q$ are a disjoint union of orbifolds corresponding to homomorphisms from $Γ$ into a groupoid presenting $Q$. Here, we show that the inertia orbifold and $k$-multi-sectors are special cases of the $Γ$-sectors, and that the $Γ$-sectors are orbif…

Study compares information flow between Chinese and US stock sectors.

Market sectors play a key role in the efficient flow of capital through the modern Global economy. We analyze existing sectorization heuristics, and observe that the most popular - the GICS (which informs the S&P 500), and the NAICS (published by the U.S. Government) - are not entirely quantitatively driven, but rather…

SRR detects early signs of financial crises using multi-layer graphs.

Study uses multidimensional SE-NBD process to analyze default portfolios and identify shock amplification.

With the network methods and random matrix theory, we investigate the interaction structure of communities in financial markets. In particular, based on the random matrix decomposition, we clarify that the local interactions between the business sectors (subsectors) are mainly contained in the sector mode. In the secto…

This study analyzes information flow networks in Chinese stock sectors using transfer entropy.

The paper analyzes Indian stock sectors using multifractal analysis for long and short-term investment.

The study finds significant financial sector volatility and tail risk spillovers to real economy sectors.

Proposes a two-stage sector rotation method using machine learning and deep learning.

This paper models default data to capture dynamic dependence across sectors.

In this paper we consider a multivariate model-based approach to measure the dynamic evolution of tail risk interdependence among US banks, financial services and insurance sectors. To deeply investigate the risk contribution of insurers we consider separately life and non-life companies. To achieve this goal we apply …

Study develops sector rotation models using factor and fundamental analysis.

Factor analysis is a statistical technique employed to evaluate how observed variables correlate through common factors and unique variables. While it is often used to analyze price movement in the unstable stock market, it does not always yield easily interpretable results. In this study, we develop improved factor mo…

A classification of companies into sectors of the economy is important for macroeconomic analysis and for investments into the sector-specific financial indices and exchange traded funds (ETFs). Major industrial classification systems and financial indices have historically been based on expert opinion and developed ma…

Study reveals risk transmission channels among Chinese sectors.

Paper uses LLMs for sector allocation, showing better returns.

Temporal coarse-graining of multi-sector default count data generates effective correlation matrices and rank copulas.

Analyzes how venture investment strategies have evolved over time in different sectors.

New techniques identify shifts in financial market sectors.

Bangladesh's banking sector improved through financial reforms, but challenges remain.

PhysVarMix predicts diverse urban trajectories with physics constraints.

GARCH models predict stock volatility in Indian sectors.

Identifies key industrial sectors in S&P 500 states.

We consider the sectoral composition of a country's GDP, i.e. the partitioning into agrarian, industrial, and service sectors. Exploring a simple system of differential equations we characterize the transfer of GDP shares between the sectors in the course of economic development. The model fits for the majority of coun…

Tech sector decouples from non-tech sectors post-2015, predicting economic growth.

We apply the recently developed reduced Google matrix algorithm for the analysis of the OECD-WTO world network of economic activities. This approach allows to determine interdependences and interactions of economy sectors of several countries, including China, Russia and USA, properly taking into account the influence …

Enhanced indexation with sector constraints using SSD for better portfolio performance.

Kurdistan Region is a tourist hub. This research analyzes other Non-Oil Sectors that have huge attractions of Foreign Direct Investments into the Kurdistan Region from 2005 to 2013. Comparative analysis was carried out between Iraq and the Region, and among influential Sectors of the Economy. T-test and ANOVA are stati…

The purpose of this study is to estimate the production function and examine the structure of production in the mining sector of Iran. Several studies have already been conducted in estimating production functions of various economic sectors; however, less attention has been paid to mining sectors. After examining the …

We consider the isoperimetric problem in planar sectors with density $r^{p}$, and with density $a>1$ inside the unit disk and $1$ outside. We characterize solutions as a function of sector angle. We also solve the isoperimetric problem in $\mathbb{R}^{n}$ with density $r^{p},\; p<0$.

Study uses Hawkes processes to analyze stock market contagion in China.

This paper generalizes Moody's correlated binomial default distribution for homogeneous (exchangeable) credit portfolio, which is introduced by Witt, to the case of inhomogeneous portfolios. As inhomogeneous portfolios, we consider two cases. In the first case, we treat a portfolio whose assets have uniform default cor…

Deep learning LSTM predicts stock prices for portfolio design in Indian sectors.

In this paper, we perform a comparative segmentation and clustering analysis of the time series for the ten Dow Jones US economic sector indices between 14 February 2000 and 31 August 2008. From the temporal distributions of clustered segments, we find that the US economy took one and a half years to recover from the m…

This paper studies business cycle patterns in UK sectoral output. It analyzes the distinction between white noise processes and their non-white noise counterparts in the frequency domain and further examines the associated features and patterns for the process where white noise conditions are violated. The characterist…