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arXiv research

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.

169,181 papers · 148 categories

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48 results for economy ranking

Ranking stock indices based on causal influence using directed information graphs.

problem Identifying which countries exert the most economic influence in a subset of the global economy.
method Representing indices as nodes in a directed graph, estimating causal influences using directed information functional, ranking indices based on net-flow.
result Indices representing smaller economies can exert significant influence on larger economies.

In the current era of worldwide stock market interdependencies, the global financial village has become increasingly vulnerable to systemic collapse. The recent global financial crisis has highlighted the necessity of understanding and quantifying interdependencies among the world's economies, developing new effective …

2014-08-03abs ↗pdf ↗

New method ranks sectors and countries using local and aggregate I-O data.

problem Ranking sectors and countries in global value chains using incomplete I-O tables.
method Rank-11 approximation to I-O tables using local and aggregate information.
result Consistently good performance in reconstructing rankings of upstreamness and downstreamness.

Most decision theories, including expected utility theory, rank dependent utility theory and cumulative prospect theory, assume that investors are only interested in the distribution of returns and not in the states of the economy in which income is received. Optimal payoffs have their lowest outcomes when the economy …

2013-08-29abs ↗pdf ↗

In this paper we have analyzed scaling properties and cyclical behavior of the three types of stock market indexes (SMI) time series: data belonging to stock markets of developed economies, emerging economies, and of the underdeveloped or transitional economies. We have used two techniques of data analysis to obtain an…

2015-07-13abs ↗pdf ↗

Study models risks for low-carbon economy in Balkan countries, focusing on shadow economy and populism.

problem Risks and uncertainties in establishing a low-carbon economy in Balkan countries with transition economies.
method Transdisciplinary approach combining economic policy, public opinion, and climate change models.
result Identifies shadow economy and populism as key risk factors for low-carbon economy implementation.

This study analyzes relationships between factor endowments and commodity outputs in a trade model.

problem Analyzing factor endowment-commodity output relationships in a trade model.
method Developed a method to estimate the position of the EWS-ratio vector and derived sufficient conditions for specific sign patterns.
result Derived sufficient conditions for extreme factors to be complements and for specific Stolper-Samuelson sign patterns.

New method quantifies systemic risk of firms in supply networks.

problem Quantifying economic systemic risk of firms from supply networks.
method Unique value-added tax dataset; novel approach for computing ESR.
result A tiny fraction of companies have high systemic risk impacting 23% of national production.

The study shows how probability weighting can lead to betting in a risk-averse economy.

problem Understanding how probability weighting affects economic behavior and risk aversion.
method Examining a von Neumann-Morgenstern economy with an RDU agent to model probability weighting effects.
result Probability weighting can lead to endogenous betting in an economy with common beliefs.

Analyzes how economic policies affect wealth distribution in Bitcoin token economy.

problem Impact of economic policies on wealth distribution in token economies.
method Eliminated noise in wealth distribution data using macroeconomic and microeconomic time series. Causality analysis between BIPs and wealth distribution data.
result Proposed a structure for economic policy taxonomy in token economies.

Paper outlines methodology for token economy modelling and event impact analysis.

problem Modeling and analyzing token economies with DeTEcT framework.
method DeTEcT framework for simulation, event analysis, and impact measurement.
result Demonstrates how to apply the proposed frameworks to Bitcoin's token economy.

We have studied numerically the statistical mechanics of the dynamic phenomena, including money circulation and economic mobility, in some transfer models. The models on which our investigations were performed are the basic model proposed by A. Dragulescu and V. Yakovenko [1], the model with uniform saving rate develop…

2005-07-21abs ↗pdf ↗

We discuss a Pareto macro-economy (a) in a closed system with fixed total wealth and (b) in an open system with average mean wealth and compare our results to a similar analysis in a super-open system (c) with unbounded wealth. Wealth condensation takes place in the social phase for closed and open economies, while it …

2001-01-05abs ↗pdf ↗

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

problem Volatility and tail risk spillovers from financial to real economy sectors.
method New measure of tail risk spillover, empirical analysis of U.S. economy 2001-2011.
result Significant volatility and tail risk spillovers from financial to real economy sectors, especially during crises.

We study the competitive equilibrium of large random economies with linear activities using methods of statistical mechanics. We focus on economies with CC commodities, NN firms, each running a randomly drawn linear technology, and one consumer. We derive, in the limit N,CN,C\to\infty with n=N/Cn=N/C fixed, a complete de…

2003-09-23abs ↗pdf ↗

Politicians world-wide frequently promise a better life for their citizens. We find that the probability that a country will increase its {\it per capita} GDP ({\it gdp}) rank within a decade follows an exponential distribution with decay constant λ=0.12λ= 0.12. We use the Corruption Perceptions Index (CPI) and the Global …

2012-09-13abs ↗pdf ↗

This study analyzes global oil trade networks to assess their efficiency and robustness.

problem Dynamic monitoring and warning of international trade risks in global oil trade.
method Constructing unweighted and weighted global oil trade networks (OTNs) using UN Comtrade data from 1988 to 2017, and applying complex network theories.
result Efficiency of oil flows increases with complexity of OTNs, and weighted efficiency indicators highlight major events.

Expert system predicts credit card charge-offs using macroeconomic indicators.

problem Managing charge-off rates in the credit card industry.
method Developed an expert system using machine learning and macroeconomic indicators.
result Achieved mean squared error values of 1.15E-03 and 1.04E-03.

The optimal (`equilibrium') macroscopic properties of an economy with NN industries endowed with different technologies, PP commodities and one consumer are derived in the limit NN\to\infty with n=N/Pn=N/P fixed using the replica method. When technologies are strictly inefficient, a phase transition occurs upon increas…

2004-02-02abs ↗pdf ↗

A new model explains relative spreads between economies using dynamic Nelson-Siegel and functional regression.

problem Analyzing and predicting relative spreads between economies in fixed income markets.
method State-space functional regression model incorporating dynamic Nelson-Siegel model and kernel PCA.
result The new model outperforms the dynamic Nelson-Siegel model in explaining relative spreads.

Study on asset price dynamics in OLG economies with and without a bubbly asset.

problem Analyzing asset price dynamics and optimality in OLG economies with an asset that yields dividends.
method Deriving conditions for three scenarios of equilibrium existence, providing a complete characterization of the equilibrium set, and investigating the relationship between asset price behaviors and optimality.
result A bubbly equilibrium exists if and only if the interest rate is lower than the population growth rate and the sum of per capita dividends is finite.

Using the new data from the OECD-WTO world network of economic activities we construct the Google matrix GG of this directed network and perform its detailed analysis. The network contains 58 countries and 37 activity sectors for years 1995, 2000, 2005, 2008, 2009. The construction of GG, based on Markov chain transi…

2015-07-12abs ↗pdf ↗

Emerging economies use countercyclical policies to manage crises and dominant currencies.

problem Managing economic crises and fluctuations in dominant currencies like USD and EUR.
method Theoretical analysis, case studies, econometric modeling.
result Emerging economies can stabilize growth with countercyclical monetary policies.

Paper combines CNN and GBoost for better stock price prediction.

problem Challenges in forecasting stock prices due to noise and uncertainties in market data.
method Combines Convolution Neural Network (CNN) and Gradient Boosting (GBoost) for stock price prediction.
result Experimental results show the proposed method outperforms current methods on six market indexes.

This study assesses how economic shocks affect the efficiency and robustness of international pesticide trade networks.

problem Economic shocks impact the efficiency and robustness of international pesticide trade networks.
method Simulations were used to quantify efficiency and robustness under different economic shocks. Three strategies were tested: descending, random, and ascending node removal.
result The international pesticide trade networks became more efficient and robust except for clustering coefficient. Import-oriented economies were more vulnerable to shocks.

Develops a framework to assess systemic risk in the economy using bank-firm network data.

problem Measuring systemic risk in the economy using multilayer network data.
method Unified framework combining techniques to reconstruct multilayer economy structure from bank and firm balance sheets, and dynamics of shock propagation.
result Identifies systemically important firms and banks, and assesses systemic risk determinants.

General equilibrium is the dominant theoretical framework for economic policy analysis at the level of the whole economy. In practice, general equilibrium treats economies as being always in equilibrium, albeit in a sequence of equilibria as driven by external changes in parameters. This view is sometimes defended on t…

2012-09-08abs ↗pdf ↗

We study a minimalist kinetic model for economies. A system of agents with local trading rules display emergent demand behaviour. We examine the resulting wealth distribution to look for non-thermal behaviour. We compare and contrast this model with other similar models.

2007-10-05abs ↗pdf ↗

Extends DeTEcT framework for token economies with dynamic and probabilistic parameters.

problem Modeling wealth distribution in token economies with dynamic and probabilistic parameters.
method Introduces four parametrization techniques: dynamic vs static, probabilistic vs non-probabilistic.
result Derives existing wealth distribution models from DeTEcT framework with added restrictions.

Paper analyzes virtual economies, reducing volatility and inflation.

problem Reduces player satisfaction and developer revenue in virtual economies.
method Analytical methods from financial literature applied to virtual economies.
result High level overview of virtual economic activity with conservative trading volume estimates.

Most of the analytical techniques used in the business cycle synchronisation literature rely upon the estimation of an empirical correlation matrix of time series data of macroeconomic aggregates, real GDP usually being the key variable. But the small number of available observations and small number of economies mean …

2008-07-11abs ↗pdf ↗