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SIAM Journal on Financial Mathematics

United StatesApplied Mathematics (Q1); Finance (Q1); Numerical Analysis (Q1)ISSN-matched source record
Q1Ranking
—Impact Factor (year unverified)
42H-index (SCImago 2025)
1.328SJR (2025)
2010-2026Coverage

About SIAM Journal on Financial Mathematics

SIAM Journal on Financial Mathematics (SIFIN)

The SIAM Journal on Financial Mathematics (SIFIN) is a peer-reviewed electronic journal published by the Society for Industrial and Applied Mathematics (SIAM), devoted to the mathematical theory of finance and the computational challenges of its implementation. Launched in January 2010, it brings together theoretical developments in financial mathematics and breakthroughs in the scientific computing behind them, serving both scholars and practitioners.

Key Facts

Journal titleSIAM Journal on Financial Mathematics
ISO 4 abbreviationSIAM J. Financ. Math.
ISSN1945-497X (electronic only)
PublisherSociety for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, USA
FoundedJanuary 21, 2010 — source: Princeton ORFE launch announcement
Founding editors-in-chiefRené Carmona and Ronnie Sircar (both Princeton University) — source: Princeton ORFE launch announcement
Current editor-in-chiefH. Mete Soner — source: official SIAM journal homepage (epubs.siam.org)
Publication frequencyQuarterly; continuous electronic publication
Journal typePeer-reviewed, subscription-based, electronic only

History and Background

The SIAM Journal on Financial Mathematics was launched on January 21, 2010, as reported by Princeton University's Operations Research and Financial Engineering department. Its founding editors-in-chief were René Carmona and Ronnie Sircar, both professors in Princeton's ORFE department. The journal was created to fill a gap between the financial-mathematics literature, which often emphasized pure stochastic analysis, and the computational finance literature, which emphasized implementation: SIFIN would publish work that was both mathematically rigorous and computationally significant.

The launch announcement described a dual mandate. On the theoretical side, the journal seeks papers with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes works introducing new methods and algorithms representing significant — as opposed to incremental — improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics. This dual bar remains the journal's defining editorial standard.

The journal's birth coincided with the aftermath of the 2007–2008 financial crisis, a period that dramatically increased academic and regulatory interest in rigorous modeling of credit risk, systemic risk, and high-frequency markets — themes that would dominate SIFIN's early volumes. Landmark early papers on affine point processes and portfolio credit risk (Errais, Giesecke & Goldberg, 2010) appeared in the journal's first volume and remain among its most cited works.

SIFIN is one of SIAM's newer journals, joining a portfolio that includes the SIAM Journal on Applied Mathematics (founded 1953), SIAM Journal on Numerical Analysis (1964), SIAM Journal on Applied Dynamical Systems (2002), and Multiscale Modeling & Simulation (2003). It is published continuously in electronic form only, with no print edition.

Aims and Scope

Per SIAM's official description, SIFIN addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance and practitioners interested in rigorous treatments of the scientific computational issues related to implementation.

Core research areas include:

  • Derivative pricing and hedging: stochastic volatility models, local and stochastic-local volatility, rough volatility, and Fourier and transform methods.
  • Credit risk and systemic risk: point-process models, contagion, large-portfolio asymptotics, and measures of systemic risk.
  • Portfolio optimization and asset allocation: continuous-time portfolio theory, mean-variance problems, and robust optimization.
  • Optimal execution and market microstructure: limit order book modeling, high-frequency trading, and transaction-cost analysis.
  • Numerical methods: Monte Carlo methods, PDE and PIDE solvers, BSDE methods, and machine-learning approaches to pricing and hedging.
  • Risk measures and regulation: coherent and convex risk measures, model uncertainty, and capital requirements.
  • Stochastic control and games: mean-field games in finance, principal-agent problems, and contract theory.

The journal's readership spans applied mathematicians, probabilists, financial engineers, quantitative analysts, and regulators. Contributions integrating ideas from statistics, probability theory, optimization, and computational science are highly encouraged.

Editorial Leadership

The current editor-in-chief is H. Mete Soner, as listed on the official SIAM journal homepage. Soner is known for his work on stochastic control, viscosity solutions, and their applications in finance. The founding editors-in-chief were René Carmona and Ronnie Sircar of Princeton University, who wrote the "Message From the Editors-in-Chief" that opened Volume 1 (2010). The associate editor board includes researchers such as Kay Giesecke (Stanford University), who has served as an associate editor of the journal since 2013 per his Stanford profile. The full editorial board is listed on the official SIAM journal page.

Metrics and Rankings

The following figures are reported by bibliometric aggregators and should be treated as secondary-source figures; Clarivate's Journal Citation Reports is the authoritative source for the impact factor.

Journal Impact Factor2.0 (2026 JCR release — as reported by journalsearches.com aggregator); 1.8 (2024 — as reported by OOIR/research.com)
Scopus CiteScore3.3 (Scopus — as reported by journalsearches.com)
SCImago Journal Rank (SJR)1.328 (as reported by journalsearches.com) / 0.904 (as reported by resurchify.com) — aggregator figures differ; treat as approximate
h-index42 (as reported by journalsearches.com) / 39 (as reported by resurchify.com) — aggregator figures
Scopus categoriesApplied Mathematics (Q1), Numerical Analysis (Q1), Finance (Q1/Q2) — per aggregators
JCR categoriesBusiness, Finance (Q2); Mathematics, Interdisciplinary Applications (Q1); Social Sciences, Mathematical Methods (Q1) — per OOIR aggregator

Metric aggregators disagree on some values (for example SJR and h-index), so figures above are given with their sources and should be verified against Clarivate JCR and Scopus for evaluative use.

Landmark Papers

The following highly cited papers were published in SIFIN. Each DOI was verified against the Crossref record for this journal (ISSN 1945-497X).

  1. Errais, E., Giesecke, K., & Goldberg, L. R. (2010). Affine Point Processes and Portfolio Credit Risk. SIAM J. Financ. Math., 1(1), 642–665. doi:10.1137/090771272 — Developed affine point-process models for correlated defaults, a cornerstone of portfolio credit-risk modeling; the journal's most-cited paper.
  2. Cont, R., Kukanov, A., & Stoikov, S. (2014). Price Dynamics in a Markovian Limit Order Market. SIAM J. Financ. Math., 5(1), 1–44. doi:10.1137/110856605 — Modeled limit order book dynamics as a Markov process, linking order flow to price volatility in high-frequency markets.
  3. Grzelak, L. A., & Oosterlee, C. W. (2011). On the Heston Model with Stochastic Interest Rates. SIAM J. Financ. Math., 2(1), 255–286. doi:10.1137/090756119 — Extended the Heston stochastic-volatility model to stochastic interest rates with an efficient approximation for the characteristic function.
  4. Predoiu, S., Shaikhet, G., & Shreve, S. E. (2011). Optimal Execution in a General One-Sided Limit-Order Book. SIAM J. Financ. Math., 2(1), 183–212. doi:10.1137/10078534X — Solved optimal trade-execution problems in a general limit-order-book setting, influential in algorithmic trading research.
  5. Cartea, Á. (2014). Buy Low, Sell High: A High Frequency Trading Perspective. SIAM J. Financ. Math. doi:10.1137/130911196 — Analyzed high-frequency trading strategies within a rigorous stochastic-control framework.
  6. Hurd, T. R., & Zhou, Z. (2010). A Fourier Transform Method for Spread Option Pricing. SIAM J. Financ. Math., 1(1), 142–157. doi:10.1137/090750421 — Derived an efficient Fourier-transform pricing formula for spread options, appearing in the journal's inaugural volume.

Open Access and Article Processing Charges

SIFIN is a subscription-based, electronic-only journal. SIAM does not publish a standard article processing charge for SIFIN on the journal's public page, and no official APC figure was identified in this research — marked as not officially published. SIAM's author sharing policy permits authors to post accepted manuscripts (green open access) subject to its terms. The journal follows standard peer review; SIAM does not publish an official acceptance rate or average review time for SIFIN — both marked as not officially published.

Abstracting and Indexing

SIFIN is indexed in Scopus, the Science Citation Index Expanded (Web of Science), and related services; Scopus coverage is recorded from 2010 to the present. Aggregators additionally report indexing in UGC CARE and the ABDC journal list (B rating) — these are secondary-source claims.

Frequently Asked Questions

What is the SIAM Journal on Financial Mathematics?
A peer-reviewed electronic journal published by SIAM since 2010, covering the mathematical theory of finance and the computational methods used to implement it.
What is the ISSN of SIFIN?
1945-497X (electronic only).
What is the impact factor of SIFIN?
Aggregators report approximately 1.8–2.0 in recent JCR releases; consult Clarivate's Journal Citation Reports for the authoritative figure.
Who is the editor-in-chief of SIFIN?
H. Mete Soner, per the official SIAM journal homepage. The founding editors-in-chief were René Carmona and Ronnie Sircar of Princeton.
When was SIFIN founded?
January 21, 2010, as announced by Princeton's ORFE department.
How often is SIFIN published?
Quarterly, with continuous electronic publication.
Does SIFIN charge an article processing fee?
No official APC is published; the journal is subscription-based with green open-access author posting rights per SIAM policy.
What topics does SIFIN cover?
Derivative pricing, credit and systemic risk, portfolio optimization, market microstructure, numerical methods for finance, risk measures, and stochastic control and games.

Research Themes in Depth

SIFIN's published record traces the evolution of quantitative finance since the 2008 crisis. Several research programs stand out:

Credit risk and contagion. The journal's most-cited paper — Errais, Giesecke & Goldberg (2010) on affine point processes — arrived exactly when the financial system was digesting the correlated defaults of the subprime crisis. By modeling default clustering through self-exciting point processes with affine structure, the paper gave risk managers tractable formulas for portfolio loss distributions, and it anchored a decade of SIFIN papers on large-portfolio asymptotics, systemic risk measures, and contagion.

Market microstructure and limit order books. Cont, Kukanov & Stoikov's Markovian limit order book model (2014) connected the microsecond-level mechanics of modern electronic markets to observable price volatility — a bridge between high-frequency data and stochastic modeling. Predoiu, Shaikhet & Shreve (2011) on optimal execution in general limit-order books gave algorithmic traders a rigorous framework for splitting large orders, one of the most practically consequential problems in the field.

Stochastic volatility modeling. From Heston-model extensions with stochastic interest rates (Grzelak & Oosterlee, 2011) to the rough-volatility revolution of the late 2010s, SIFIN has been a primary venue for volatility research. The journal's computational mandate shows here: papers must typically pair model innovation with a demonstrably better numerical method — Fourier techniques, asymptotic expansions, or Monte Carlo schemes.

Numerical methods and BSDEs. Backward stochastic differential equations, deep-learning-based PDE solvers, and Monte Carlo variance-reduction techniques form a sustained computational thread, reflecting the journal's founding insistence that computational contributions represent significant rather than incremental advances.

Portfolio optimization and risk measures. Continuous-time portfolio theory, robust optimization under model uncertainty, and the mathematics of risk measures and capital requirements connect the journal to both academic finance and regulatory practice.

The Post-Crisis Decade: Why SIFIN Mattered

SIFIN launched in January 2010, sixteen months after the Lehman Brothers collapse. The timing shaped the journal: regulators and banks urgently needed better models of correlated default, funding costs, and systemic risk, while the Dodd-Frank era created demand for rigorous valuation adjustments (CVA, FVA, KVA — collectively XVA). SIFIN's first decade published foundational work on exactly these problems, and its emphasis on computational tractability meant the models could actually be implemented by practitioners. The journal thus became one of the channels through which academic financial mathematics influenced post-crisis risk management.

Publishing in SIFIN: Author Guidance

Manuscripts are submitted through SIAM's online submission system. SIFIN uses single-blind peer review. Authors should frame the mathematical contribution precisely: what theorem, model, or algorithm is new, and why does it matter for finance? Computational papers must demonstrate a significant improvement over the state of the art — faster convergence, higher accuracy, or a newly tractable problem class — with reproducible numerical experiments. Purely empirical or descriptive finance papers are a poor fit; the journal is a mathematics journal first.

SIAM's sharing policy permits authors to post accepted manuscripts on personal pages and repositories such as arXiv (green open access), subject to the current policy's terms. Authors should verify the current terms before submission.

SIFIN in the SIAM Family and Beyond

Within SIAM, SIFIN's closest sibling is SIAM Journal on Financial Mathematics's electronic-only peer, SIADS; its methodological cousins include the SIAM Journal on Numerical Analysis and the SIAM Journal on Scientific Computing. In the broader finance literature, SIFIN complements Mathematical Finance (Wiley) and Finance and Stochastics (Springer), which lean more toward pure stochastic analysis, and Quantitative Finance (Taylor & Francis), which is more practitioner-oriented. SIFIN's distinctive position is the theory–computation bridge.

Timeline

  • January 21, 2010 — Journal launched with René Carmona and Ronnie Sircar as founding editors-in-chief.
  • 2010 — Volume 1: Errais, Giesecke & Goldberg on affine point processes; Hurd & Zhou on spread-option Fourier pricing.
  • 2011 — Grzelak & Oosterlee (Heston with stochastic rates); Predoiu, Shaikhet & Shreve (optimal execution).
  • 2014 — Cont, Kukanov & Stoikov on Markovian limit order markets.
  • 2010s — XVA, rough volatility, and systemic-risk themes dominate.
  • 2020s — Machine learning in finance, mean-field games, and energy markets; H. Mete Soner serving as editor-in-chief.

XVA: A Decade of Valuation Adjustments

One of the most commercially consequential literatures SIFIN hosted in the 2010s concerned XVA — the family of valuation adjustments (credit, funding, capital, margin) that banks must add to derivative prices after the crisis exposed the fiction of risk-free counterparties. Pricing under counterparty risk and funding costs required new mathematics: BSDEs with default jumps, nonlinear PDEs, and efficient Monte Carlo for high-dimensional portfolios. SIFIN papers on these topics were read not only by academics but by quantitative analysts implementing the adjustments in bank pricing libraries — a rare case of a mathematics journal directly shaping industry practice. The XVA literature also illustrates the journal's computational bar: a theoretically elegant adjustment formula is useless to a bank unless it can be computed for a portfolio of tens of thousands of trades.

Machine Learning Enters Finance

In the 2020s SIFIN's pages increasingly feature machine learning: deep BSDE solvers for high-dimensional pricing PDEs, neural-network approximations of optimal hedging strategies, and reinforcement-learning approaches to optimal execution. The journal's editorial standard adapts naturally to this wave — a neural-network pricer must demonstrate a significant, analyzed improvement over classical methods, not merely a successful training run. Mean-field games, another 2020s growth area, connect the journal to economics and crowd modeling. Energy markets, with their non-storability and spikes, have become a notable application domain.

Frequently Asked Questions (continued)

Is SIFIN open access?
No — it is subscription-based and electronic-only, with green open-access author posting rights under SIAM's sharing policy.
What is the difference between SIFIN and Mathematical Finance?
Both publish financial mathematics, but SIFIN places stronger emphasis on computational methods and significant algorithmic advances, while Mathematical Finance leans toward pure stochastic analysis.
Does SIFIN publish empirical finance papers?
Generally no — papers must contain demonstrable mathematical or computational developments; purely empirical studies are a poor fit.
Who reads SIFIN?
Applied mathematicians, probabilists, financial engineers, quantitative analysts in banks and funds, and regulators.
What was SIFIN's most cited paper?
Errais, Giesecke & Goldberg (2010) on affine point processes and portfolio credit risk, with over 300 citations per Crossref.

Peer Review and Editorial Standards at SIAM

Like all SIAM journals, SIFIN employs single-blind peer review managed through SIAM's online system, with associate editors assigning each manuscript to expert referees. SIAM's editorial standards emphasize correctness of proofs, clarity of exposition, and genuine novelty; referees are asked to judge whether the mathematical or computational advance is significant rather than incremental. Authors should expect at least one round of revision addressing referee concerns in detail. SIAM also maintains strict policies on prior publication: conference versions and arXiv preprints are generally permitted, but the journal submission must represent a substantial advance. These standards, common across the SIAM portfolio, are what give SIFIN papers their lasting value — the journal's most-cited articles remain reference points a decade or more after publication precisely because the review process demanded rigor.

Sources

  • Official SIAM journal homepage (epubs.siam.org) — editor-in-chief, aims, ISSN, frequency.
  • Princeton ORFE launch announcement (January 25, 2010) — founding date and founding editors.
  • dblp volume-1 listing — inaugural volume contents, "Message From the Editors-in-Chief."
  • Stanford profile of Kay Giesecke — associate editorship.
  • journalsearches.com, resurchify.com, research.com, OOIR — aggregator metrics (attributed as secondary figures).
  • Crossref API (ISSN 1945-497X works endpoint) — landmark paper DOIs and citation counts.

Source-backed journal facts

ISSN(s)1945-497X
ISSN-L1945-497X
Source typeJournal
Publisher / hosting organisationSociety for Industrial and Applied Mathematics
Publisher country codeUS
Fully open access (OpenAlex)Not marked as fully open access; hybrid options may exist
DOAJ flag (OpenAlex)Not listed in OpenAlex metadata; this is not a direct DOAJ check
Works recorded in OpenAlex674
Citations recorded in OpenAlex13,387
OpenAlex H-index55
Years represented in OpenAlex2010–2026 (not the founding or closing dates)

Topics in published research

Stochastic processes and financial applications; Financial Risk and Volatility Modeling; Economic theories and models; Financial Markets and Investment Strategies; Risk and Portfolio Optimization; Complex Systems and Time Series Analysis.

OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.

Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.

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