Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York

K Lahiri, C Yang - international Journal of forecasting, 2022 - Elsevier
Abstract We forecast New York state tax revenues with a mixed-frequency model using
several machine learning techniques. We found that boosting with two dynamic factors …

[PDF][PDF] A survey on deep learning for financial risk prediction

K Peng, G Yan - Quantitative Finance and Economics, 2021 - aimspress.com
The rapid development of financial technology not only provides a lot of convenience to
people's production and life, but also brings a lot of risks to financial security. To prevent …

Modeling approach matters, but not as much as preprocessing: Comparison of machine learning and traditional revenue forecasting techniques

S Larson, M Overton - Public Finance Journal, 2024 - publicfinance.org
Revenue forecasting accuracy is critical to governmental operations. This paper addresses
the question: What is the best technique for forecasting sales tax revenue? Prior studies in …

Comparison and application of logistic regression and support vector machine in tax forecasting

X Hui - 2020 International Signal Processing, Communications …, 2020 - ieeexplore.ieee.org
As an indispensable part of economy and society, the proportion of enterprise tax planning
in national finance is becoming increasingly important. With the development of economy …

Comparative Analysis of Classification Algorithms Applied to Circular Trading Prediction Scenarios

D Silva, ST Carvalho, N Silva - International Conference on Electronic …, 2022 - Springer
Goods and services trading taxation is the main source of revenue for Brazilian states,
therefore its evasion directly affects public services. A particular case of evasion concerns …

On identifying early blockable taxpayers on goods and services trading operations

D Silva, ST Carvalho, NF Felipe Da Silva - Proceedings of the 24th …, 2023 - dl.acm.org
Goods and services trading taxation faces a series of challenges around the world, either by
its decentralized and adaptive aspect, or by the recurrent and increasingly elaborate …

Detection of Structured Fraud Supported by Shell Companies on Goods and Services Trading Operations

D Silva, N Felix, S Carvalho - International Conference on Electronic …, 2024 - Springer
Mitigating tax evasion in goods and services trading operations has been one of top
priorities of local governments for a long time–as they directly impact the budget available …

[PDF][PDF] Data Science Methods and Techniques for Goods and Services Trading Taxation: a Systematic Mapping Study.

D Silva, ST Carvalho - EGOV-CeDEM-ePart-*, 2021 - ceur-ws.org
Taxation on goods and services trading operations is the main revenue source for States
and Provinces around the world. Collecting such taxes, however, constantly faces a series of …

[图书][B] Forecasting Government Budgets: Methods and Applications

A Khan, KA Kriz - 2022 - books.google.com
Forecasting is integral to all governmental activities, especially budgetary activities. Without
good and accurate forecasts, a government will not only find it difficult to carry out its …

Analysis of SARIMA-BiLSTM-BiGRU in Furniture Time Series Forecasting

K Mouthami, N Yuvaraj, RI Pooja - International Conference on Hybrid …, 2022 - Springer
Due to the non-stationary nature of furniture sales, forecasting was highly challenging. The
cost of maintaining inventory, placing investments at risk, and other expenses could all …