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Results for “employment” · papers 18 · wiki 4
Academic Papers · 18arXiv q-fin live 18 · desk corpus 0
arXiv · arXiv q-fin · 2020

Predicting Non Farm Employment

U.S. Nonfarm employment is considered one of the key indicators for assessing the state of the labor market. Considerable deviations from the expectations can cause market moving impacts. In this paper, the total U.S. nonfarm payroll employment is predicted before the release of the BLS employment report. The content herein outlines the process for extracting predictive features from the aggregated payroll data and t

Tarun Bhatia
arXiv · arXiv q-fin · 2017

ICT and Employment in India: A Sectoral Level Analysis

How technology affects growth or employment has long been debated. With a hiatus, the debate revived once again in the form of how Information and Communications Technology, as a form of new technology, exerts on productivity and employment. Information and Communications Technology perceived as General Purpose Technology like steam engine or electricity in the past, ushered the world into a new techno-economic parad

Dr. Pawan Kumar
arXiv · arXiv q-fin · 2011

Employment, unemployment and real economic growth

We have modeled the employment/population ratio in the largest developed countries. Our results show that the evolution of the employment rate since 1970 can be predicted with a high accuracy by a linear dependence on the logarithm of real GDP per capita. All empirical relationships estimated in this study need a structural break somewhere between 1975 and 1995. Such breaks might be caused by revisions to monetary po

Ivan Kitov, Oleg Kitov
arXiv · arXiv q-fin · 2011

Firm dynamics in a closed, conserved economy: A model of size distribution of employment and related statistics

We address the issue of the distribution of firm size. To this end we propose a model of firms in a closed, conserved economy populated with zero-intelligence agents who continuously move from one firm to another. We then analyze the size distribution and related statistics obtained from the model. Our ultimate goal is to reproduce the well known statistical features obtained from the panel study of the firms i.e., t

Anindya S. Chakrabarti
arXiv · arXiv q-fin · 2025

A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks

Small and Medium-sized Enterprises (SMEs) are known to play a vital role in economic growth, employment, and innovation. However, they tend to face significant challenges in accessing credit due to limited financial histories, collateral constraints, and exposure to macroeconomic shocks. These challenges make an accurate credit risk assessment by lenders crucial, particularly since SMEs frequently operate within inte

Sahab Zandi, Kamesh Korangi, Juan C. Moreno-Paredes, María Óskarsdóttir, Christophe Mues
arXiv · arXiv q-fin · 2025

Forecasting Labor Markets with LSTNet: A Multi-Scale Deep Learning Approach

We present a deep learning approach for forecasting short-term employment changes and assessing long-term industry health using labor market data from the U.S. Bureau of Labor Statistics. Our system leverages a Long- and Short-Term Time-series Network (LSTNet) to process multivariate time series data, including employment levels, wages, turnover rates, and job openings. The model outputs both 7-day employment forecas

Adam Nelson-Archer, Aleia Sen, Meena Al Hasani, Sofia Davila, Jessica Le
arXiv · arXiv q-fin · 2022

Deep Reinforcement Learning for Optimal Investment and Saving Strategy Selection in Heterogeneous Profiles: Intelligent Agents working towards retirement

The transition from defined benefit to defined contribution pension plans shifts the responsibility for saving toward retirement from governments and institutions to the individuals. Determining optimal saving and investment strategy for individuals is paramount for stable financial stance and for avoiding poverty during work-life and retirement, and it is a particularly challenging task in a world where form of empl

Fatih Ozhamaratli, Paolo Barucca
arXiv · arXiv q-fin · 2020

Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies

This research analyses high-frequency data of the cryptocurrency market in regards to intraday trading patterns related to algorithmic trading and its impact on the European cryptocurrency market. We study trading quantitatives such as returns, traded volumes, volatility periodicity, and provide summary statistics of return correlations to CRIX (CRyptocurrency IndeX), as well as respective overall high-frequency base

Alla A. Petukhina, Raphael C. G. Reule, Wolfgang Karl Härdle
arXiv · arXiv q-fin · 2018

Quantifying macroeconomic expectations in stock markets using Google Trends

Among other macroeconomic indicators, the monthly release of U.S. unemployment rate figures in the Employment Situation report by the U.S. Bureau of Labour Statistics gets a lot of media attention and strongly affects the stock markets. I investigate whether a profitable investment strategy can be constructed by predicting the likely changes in U.S. unemployment before the official news release using Google query vol

Johannes Bock
arXiv · arXiv q-fin · 2017

A Short-term Intervention for Long-term Fairness in the Labor Market

The persistence of racial inequality in the U.S. labor market against a general backdrop of formal equality of opportunity is a troubling phenomenon that has significant ramifications on the design of hiring policies. In this paper, we show that current group disparate outcomes may be immovable even when hiring decisions are bound by an input-output notion of "individual fairness." Instead, we construct a dynamic rep

Lily Hu, Yiling Chen
arXiv · arXiv q-fin · 2016

Inventory growth cycles with debt-financed investment

We propose a continuous-time stock-flow consistent model for inventory dynamics in an economy with firms, banks, and households. On the supply side, firms decide on production based on adaptive expectations for sales demand and a desired level of inventories. On the demand side, investment is determined as a function of utilization and profitability and can be financed by debt, whereas consumption is independently de

Matheus Grasselli, Adrien Nguyen-Huu
arXiv · arXiv q-fin · 2016

Complex Systems and a Computational Social Science Perspective on the Labor Market

Labor market institutions are central for modern economies, and their polices can directly affect unemployment rates and economic growth. At the individual level, unemployment often has a detrimental impact on people's well-being and health. At the national level, high employment is one of the central goals of any economic policy, due to its close association with national prosperity. The main goal of this thesis is

Abdullah Almaatouq
arXiv · arXiv q-fin · 2013

Statistical Mechanics of Labor Markets

We introduce a probabilistic model of labor markets for university graduates, in particular, in Japan. To make a model of the market efficiently, we take into account several hypotheses. Namely, each company fixes the (business year independent) number of opening positions for newcomers. The ability of gathering newcomers depends on the result of job matching process in past business years. This fact means that the a

He Chen, Jun-ichi Inoue
arXiv · arXiv q-fin · 2010

Competitive market for multiple firms and economic crisis

The origin of economic crises is a key problem for economics. We present a model of long-run competitive markets to show that the multiplicity of behaviors in an economic system, over a long time scale, emerge as statistical regularities (perfectly competitive markets obey Bose-Einstein statistics and purely monopolistic-competitive markets obey Boltzmann statistics) and that how interaction among firms influences th

Yong Tao
arXiv · arXiv q-fin · 2010

How to predict and avert economic crisis

Our study shows that many firms would accumulate at zero output level (namely, Bankruptcy status) if a perfectly competitive market reaches full employment (namely, those people who should obtain employment have obtained employment). As a result, appearance of economic crisis is determined by two points; that is, (a). Stock market approaches perfect competition; (b). Society reaches full employment. The empirical res

Yong Tao
arXiv · arXiv q-fin · 2009

Stability analysis with applications of a two-dimensional dynamical system arising from a stochastic model of an asset market

We analyze the stability properties of equilibrium solutions and periodicity of orbits in a two-dimensional dynamical system whose orbits mimic the evolution of the price of an asset and the excess demand for that asset. The construction of the system is grounded upon a heterogeneous interacting agent model for a single risky asset market. An advantage of this construction procedure is that the resulting dynamical sy

Vladimir Belitsky, Antonio L. Pereira, Fernando P. de Almeida Prado
arXiv · arXiv q-fin · 2024

Understanding the Effect of Market Risks on New Pension System and Government Responsibility

This study examines how market risks impact the sustainability and performance of the New Pension System (NPS). NPS relies on defined contributions from both employees and employers to build a corpus during the employee's service period. Upon retirement, employees use the corpus fund to sustain their livelihood. A critical concern for individuals is whether the corpus will grow sufficiently to be sustainable or if it

Sourish Das, Bikramaditya Datta, Shiv Ratan Tiwari
arXiv · arXiv q-fin · 2022

Do diverse and inclusive workplaces benefit investors? An Empirical Analysis on Europe and the United States

As the COVID-19 pandemic restrictions slow down, employees start to return to their offices. Hence, the discussions on optimal workplaces and issues of diversity and inclusion have peaked. Previous research has shown that employees and companies benefit from positive workplace changes. This research questions whether allowing for diversity and inclusion criteria in portfolio construction is beneficial to investors. B

Karoline Bax
Wiki Entities · 4
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