Currency Risk Management
Our Currency Risk Management services help investment leaders move from fragile, spreadsheet-bound forecasting to an engineered, decision-ready risk layer. We are an AI-native analytics partner that builds currency prediction and ranking models, automated hedging strategies, stress-testing and scenario simulation, and real-time risk dashboards on top of your existing data, models, and reporting workflows. Investment and risk teams use the platform to predict currency movements with auditable accuracy, size and automate hedges, pressure-test portfolios against adverse scenarios, and give investors a transparent, traceable view of how exposure is managed. React to market volatility in near real time, and replace manual, error-prone evaluation with self-serve insight.
What We Do
Currency forecasting and ranking models
Statistical and machine learning models forecast currency movements and rank currencies in real time, replacing static spreadsheet estimates with models tuned to reduce prediction error.
Automated hedging strategy
Rules-driven, automated hedging removes manual error and scales across portfolios. Exposure is sized, routed for execution, and monitored through a governed workflow rather than ad hoc spreadsheets.
FX stress testing and scenario simulation
Advanced stress-testing modules are built around your specific risk factors, with customisable scenario tools that pressure-test portfolios against adverse and historical market events before they happen.
Automated FX data ingestion and quality control
Python-based pipelines handle real-time data ingestion, outlier detection, and automated data-quality checks, so every model runs on consistent, validated inputs instead of raw, hand-maintained Excel.
Multi-factor currency exposure analysis
Dynamic analysis runs across a broad universe of currencies and macroeconomic factors, with filtering that lets teams isolate exposures, drivers, and scenarios down to the combination that matters.
Real-time FX risk dashboards
Role-based dashboards on your preferred BI tool give fast-loading, drill-down views of exposure, rankings, hedge status, and scenario outcomes, built for concurrent access across the investment team.
Transparent FX risk reporting for investors
Traceable, automated reporting turns complex scoring and risk methodology into clear, visual narratives, so investment committees and investors understand exactly how currency risk is being managed.
Model validation and accuracy monitoring
Continuous validation of predictive models, statistical accuracy improvement, and automated checks keep monthly risk outputs consistent and audit-ready across finance, legal, and investment functions.
Why DPA
From spreadsheets to engineered models
Every capability replaces a fragile, manually maintained Excel process with governed Python pipelines, modelled data, and audit trails. The model does not break when someone renames a column or an analyst is on leave.
Accuracy you can audit
Our models are built to reduce prediction error and to show their work. Methodologies are transparent and traceable, so investment committees and investors can see why a currency is ranked, hedged, or flagged, not just the output.
A risk framework, not just a report
The system does not stop at visualising exposure. It forecasts movements, sizes and automates hedges, and simulates adverse scenarios, turning currency risk from a monthly reporting exercise into an active decision tool.
Built for volatile and emerging markets
These systems are engineered for the currencies where volatility is highest and data is hardest, including emerging markets, so the framework holds up under exactly the conditions that expose spreadsheet-based approaches.
BFSI-grade data security
Built by a team with two decades in financial services. Encryption, role-based access, data residency controls, and hardened environments are inherent to how we build, not features bolted on. For sensitive portfolios, we deploy inside your own infrastructure.
Frequently Asked Questions
Everything you need to know about Currency Risk Management with Decimal Point Analytics.
Measure the exposure on validated data, forecast and rank expected currency movements, size the hedge using rules aligned to your mandate, and keep the methodology and decision trail traceable so the hedge can be explained afterwards. We build all four steps as an engineered layer rather than a manual process. See the four-step approach above.
Off-the-shelf platforms give you generic models and fixed methodologies. We build prediction and ranking models tuned to your currencies and factors, hedging logic aligned to your mandate, stress tests defined around your actual exposures, and dashboards built for your team's decision rhythms. You own the models, the data, and the outputs. There is no per-seat licence creep and no black-box methodology you cannot explain to an investor.
Both. The analytics layer predicts and ranks currency movements; the hedging layer turns those signals into automated, rules-based hedges that remove manual error and scale across portfolios. Every hedge is generated through a governed, auditable workflow rather than an analyst's spreadsheet.
We build stress-testing modules around your specific risk factors and provide customizable scenario tools, so portfolios can be evaluated against a wide range of adverse, historical, and hypothetical market conditions. This lets teams prepare for volatility before it hits, rather than explaining it afterwards.
The fastest path is a bounded parallel run. We take your current currency data and run our models alongside your existing process, so you can compare accuracy, speed, and transparency on your own portfolio before committing to a full build. First models and dashboards typically go live in weeks. Automated hedging and the full scenario library follow in a second phase.
Data security is inherent to how we build, not a feature we add. Engagements operate inside your cloud environment or in dedicated DPA-managed environments with encryption, role-based access, and audit logging. We are aligned with SOC 2 and ISO 27001 standards, and for sensitive portfolios we deploy inside your own infrastructure with no DPA-side access to raw data. Every engagement is governed by an NDA and DPDP Act / GDPR-compliant data handling protocols.
Engagements are structured in two parts: a one-time setup fee for the first phase (data foundation, prediction models, and dashboards) and an annual maintenance contract for pipeline monitoring, model upkeep, and enhancement requests. The automated hedging and advanced scenario layer is scoped separately. We can typically scope a first-phase commercial within 48 hours of an exploratory call.
Decimal Point Analytics helps investment leaders move from fragile, spreadsheet-bound forecasting to an engineered currency risk layer, combining predictive modeling, automated hedging, stress testing, and transparent reporting to power faster, sharper, and more defensible risk decisions.
