About

Ivan F. Julio is an Assistant Professor of Administrative Sciences at Boston University Metropolitan College. He holds a PhD from the University of New Orleans, an MSc from Arizona State University, and a Licentiate in Economics from the National University of Córdoba. His research primarily focuses on empirical asset pricing and macroeconomics, with specific attention to the analysis of predictive financial models and their flaws. His dissertation involved constructing a 'recession risk factor' using the Campbell and Cochrane stochastic discount factor and testing it in the cross-section of asset returns. Additionally, he has worked on derivatives, testing for short-term continuation and long-term reversal in futures markets prices, and has authored an original theoretical essay on banking and financial institutions titled “Banking Sharing Information Networks,” which explains the origin of credit bureaus and the optimal level of information sharing among financial institutions. Professor Julio has served as a financial researcher in the private sector, performing corporate executive compensation valuation, and has experience as an economic consultant, notably helping to construct a 'Business Confidence Index' for Argentina. Prior to his current role, he was a visiting assistant professor at Southeastern Louisiana University, where he also served as a board member of the Investment Committee, advising on investment policies and managing the university’s endowment. He has also taught graduate courses at Loyola University and the University of New Orleans. At Boston University, he teaches courses in finance, multinational finance, and investments. His scholarly work includes publications in reputable journals and presentations at academic conferences, emphasizing his active engagement in research related to asset pricing, financial markets, and banking.

Research topics

• Economics
• Monetary economics
• Finance
• Artificial Intelligence
• Computer Science
• Machine Learning
• Accounting
• Financial economics
• Mathematics
• Business
• Public economics
• Econometrics

Selected publications

• The Effects of Background Risks on Capital Budgeting Under Uncertainty

  SSRN Electronic Journal · 2026-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• Re-Globalization via Capital account Liberalization: Argentina's Capital Controls and Sovereign Debt re-Negotiations under Macri

  SSRN Electronic Journal · 2026-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• Market Instability from Option Flows

  SSRN Electronic Journal · 2026-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• Market Instability from Option Flows

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• AAOIFI Accounting Standards and a Theory of Interest-Free Banking

  WORLD SCIENTIFIC eBooks · 2025-06-10

  book-chapterSenior author
  PublisherDOI

• Market Instability from Option Flows

  SSRN Electronic Journal · 2024-01-01

  articleOpen accessSenior author
  PublisherDOI

• On the Persistence of Negative Real Rates: A Habit Formation Approach

  SSRN Electronic Journal · 2022-01-01

  articleOpen accessSenior author
  PublisherDOI

• Carbon Tax with Macroeconomic Stimulus: GDP as an Inferior Good

  SSRN Electronic Journal · 2021-01-01

  articleOpen accessSenior author
  PublisherDOI

• The Asymmetric Effects of Argentina’s Fiscal Deficits on the Real Exchange Rate

  Emerging Markets Finance and Trade · 2021-12-06 · 3 citations

  article1st authorCorresponding

  According to standard theoretical frameworks such as Real Business Cycle (RBC’s) models or new-Keynesian theories, the real exchange rate should appreciate in response to an increase in government spending. However, the empirical literature finds mixed results. We offer an answer to this puzzle by analyzing the impact of the composition of the fiscal deficit. Using a dynamic stochastic general equilibrium model with a government and an external sector, we quantify the differential impact on the real exchange rate generated by an increase in public consumption expenditure, public investment, and tax reduction. We calibrate and simulate the model for Argentina and find that the fiscal deficit originated in tax reduction can improve the real exchange rate. In contrast, one generated by an increase in spending deteriorates the real exchange rate. In particular, this depreciation is more significant when the spending is directed toward public consumption than when used for public investment. We argue that quantifying these different effects on the exchange rate within a dynamic stochastic general equilibrium framework is an essential exercise of political economy for highly dollarized emerging economies that exhibit higher inflation pass-through.

  PublisherDOI

• Feature Transformation for Corporate Tax Default Prediction: Application of Machine Learning Approaches

  Asia Pacific Journal of Operational Research · 2021 · 11 citations

  Senior authorCorresponding
  • Computer Science
  • Artificial Intelligence
  • Machine Learning

  Applications of machine learning (ML) and data science have extended significantly into contemporary accounting and finance. Yet, the prediction and analysis of taxpayers’ status are relatively untapped to date. Moreover, this paper focuses on the combination of feature transformation as a novel domain of research for corporate firms’ tax status prediction with the applicability of ML approaches. The paper also applies a tax payment dataset of Finish limited liability firms with failed and non-failed tax information. Seven different ML approaches train across four datasets, transformed to non-transformed, that effectively discriminate the non-default tax firms from their default counterparts. The findings advocate tax administration to choose the single best ML approach and feature transformation method for the execution purpose.

  PublisherDOI

Frequent coauthors

• M. Kabir Hassan

  4 shared

• Amir Alamir

  Metropolitan University College

  3 shared

• Geoffrey Ngene

  3 shared

• Neal Maroney

  University of New Orleans

  2 shared

• James Stodder

  2 shared

• Catherine Anitha Manohar

  Golden Gate University

  1 shared

• Ali Ashraf

  1 shared

• OLA AL-SHEYAB

  Frostburg State University

  1 shared