arXiv research

Paper proposes a method to evaluate SME credit risk using meta paths.

Study combines intra-risk and contagion risk for SME bankruptcy prediction.

Being one of the most important factors of economic growth of the country, innovations became one of the key vectors in Russian economic policy. In this field technology parks are one of the most effective instruments which can provide growth of innovative activity in sectors, regions and economies. In this paper, we m…

Graph neural networks improve SME credit risk assessment.

SmallML predicts customer churn for SMEs with small data, improving accuracy by 24.2 points.

This study proposes a new model for predicting financial distress in SMEs using machine learning.

This paper surveys enterprise financial risk analysis from Big Data and LLMs perspectives.

This study identifies financial risk paths in digital-transformed enterprises.

Financial potential is an important part of enterprise activities. The technique of the enterprise's financial potential assessment is offered in the paper. It is presented by particular stages, where each stage is related to a certain task. The characteristics of the company's financial potential, based on the analysi…

We present a macroeconomic agent-based model that combines several mechanisms operating at the same timescale, while remaining mathematically tractable. It comprises enterprises and workers who compete in a job market and a commodity goods market. The model is stock-flow consistent; a bank lends money charging interest…

For researching the association between coal enterprise management and return in financial market, this paper applies the method of time difference relevance and PageRank method to seek the leader-index of a stock set containing 21 coal enterprises in A-share market and score those stocks. Based on the return in 2011, …

Margin trading and short selling boost green tech innovation in China.

Study reveals holiday effect on China's time-honored brands, especially alcoholic beverages.

Study examines factors influencing lending to SMEs by Kenyan banks.

Digital transformation boosts corporate financial asset allocation, especially short-term.

A new method to protect enterprise data privacy in AI models.

The paper shows supply chain features improve cyber risk prediction.

This research develops a dynamic risk management system for industrial companies.

Chebyshev polynomials analyze Czech enterprises' stock dynamics.

Paper proposes HIDAM model to improve MSE default risk assessment using heterogeneous information networks.

AI-driven framework improves enterprise financial audits and risk identification.

A method for sharing synthetic data without revealing actual data or model parameters.

A scalable model estimates revenue uncertainty for SMEs.

To assure cyber security of an enterprise, typically SIEM (Security Information and Event Management) system is in place to normalize security event from different preventive technologies and flag alerts. Analysts in the security operation center (SOC) investigate the alerts to decide if it is truly malicious or not. H…

Generative AI agents improve ERP systems by automating complex financial tasks.

Emerging economies frequently show a large component of their Gross Domestic Product to be dependant on the economic activity of small and medium enterprises. Nevertheless, e-business solutions are more likely designed for large companies. SMEs seem to follow a classical family-based management, used to traditional act…

Networked-guarantee loans may cause the systemic risk related concern of the government and banks in China. The prediction of default of enterprise loans is a typical extremely imbalanced prediction problem, and the networked-guarantee make this problem more difficult to solve. Since the guaranteed loan is a debt oblig…

The basic financial purpose of an enterprise is maximization of its value. Trade credit management should also contribute to realization of this fundamental aim. Many of the current asset management models that are found in financial management literature assume book profit maximization as the basic financial purpose. …

FinanceBench benchmarks LLMs on financial QA, revealing limitations.

Financial institutions face new model risks with AI, requiring enhanced model risk management.

It was not until the beginning of the 1990s that the effects of information and communication technology on economic growth as well as on the profitability of enterprises raised the interest of researchers. After giving a general description on the relationship between a more intense use of ICT devices and dynamic econ…

Study on insurance risk management and sustainable development.

Small Medium-sized Enterprises (SMEs) face many obstacles when they try to access credit market. These obstacles are increased if the SMEs are innovative. In this case, financial data are insufficient or even not reliable. Thus, when building a judgemental rating model, mainly based on qualitative criteria (soft inform…

Study reveals similarities in knowledge flows between pharmaceutical and AI industries.

Paper presents a new method for better financial market forecasting.

Taylor's law of temporal fluctuation scaling, variance $\sim$ $a($mean$)^b$, is ubiquitous in natural and social sciences. We report for the first time convincing evidence of a solid temporal fluctuation scaling law in stock illiquidity by investigating the mean-variance relationship of the high-frequency illiquidity o…

Study uses CNN to analyze images of SMEs for bankruptcy risk.

Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems. Though many STLF methods were proposed over the past decades, most of them focused on loads at high aggregation levels only. Thus, low-aggregation load forecast still requires further research and development. Comp…

Most of the existing solutions to enterprise threat management are preventive approaches prescribing means to prevent policy violations with varying degrees of success. In this paper we consider the complementary scenario where a number of security violations have already occurred, or security threats, or vulnerabiliti…

Paper uses ML to predict SME defaults with interpretability.

New framework uses MABs for better WLAN performance.

The cloud-based speech recognition/API provides developers or enterprises an easy way to create speech-enabled features in their applications. However, sending audios about personal or company internal information to the cloud, raises concerns about the privacy and security issues. The recognition results generated in …

Paper proposes a semi-supervised learning approach for automated topic detection in support and feedback data.

The basic financial purpose of a firm is to maximize its value. An inventory management system should also contribute to realization of this basic aim. Many current asset management models currently found in financial management literature were constructed with the assumption of book profit maximization as basic aim. H…

Deep learning (DL) training-as-a-service (TaaS) is an important emerging industrial workload. The unique challenge of TaaS is that it must satisfy a wide range of customers who have no experience and resources to tune DL hyper-parameters, and meticulous tuning for each user's dataset is prohibitively expensive. Therefo…

This paper discusses the potential impacts of the so-called `initial coin offerings', and of several developments based on distributed ledger technology (`DLT'), on corporate governance. While many academic papers focus mainly on the legal qualification of DLT and crypto-assets, and most notably in relation to the pote…

Mobile context determination is an important step for many context aware services such as location-based services, enterprise policy enforcement, building or room occupancy detection for power or HVAC operation, etc. Especially in enterprise scenarios where policies (e.g., attending a confidential meeting only when the…

Digitwashing gap boosts stock crash risk, study finds.