Solutions/By Industry/Finance
Finance
Banks, funds & risk teams

Time series, risk models, all in one place.

Finance runs on volatility modeling, forecasting, machine learning, and anomaly detection. Skari brings GARCH, VAR, ARIMA/Prophet, gradient boosting, and outlier detection into one guided workflow.

GARCH & volatilityML forecastingAnomaly detection
20
Time-series methods
GARCH
Volatility models
ML
Gradient boosting
VaR
Risk metrics

THE QUESTIONS

Sound familiar?

The recurring analytical questions in your field — and the methods that answer them.

01

Forecasting prices and returns under changing volatility.

02

Modeling and stress-testing risk.

03

Scoring credit and predicting default.

04

Catching fraud and anomalies in transactions.

METHODS THAT FIT

The analyses your work runs on.

Drawn straight from the Statistical & Model Lab catalog — every method with assumption checks and plain-language interpretation.

Time series & volatility

Forecast series and model changing variance.

ARIMAGARCH / ARCH familyVAR / VECMProphet & exponential smoothingLSTM forecastingCointegration & stationarity

Risk & prediction

Score, classify, and predict outcomes.

Logistic regression (default)Gradient boosting / XGBoostRandom forestQuantile regression (VaR)Survival / hazard models

Anomaly & structure

Detect outliers and reduce dimensions.

Anomaly detectionDBSCAN / HDBSCANPCAIsolation-based methodsFeature importance

Evaluation

Validate models and forecasts rigorously.

Cross-validationForecast evaluationRolling statisticsHyperparameter tuning

SURVEY LAB

Collect the data too.

Design, distribute, and analyze surveys — the results flow straight into the same analysis engine.

HOW IT WORKS

From data to decision in four steps.

The same guided flow for every method — no coding, no guesswork.

01

Bring your data

Drop in CSV or Excel, or pull from a public dataset. Types are auto-detected.

02

Pick the method

Describe your question — the AI recommends fitting methods straight from the catalog.

03

Run with checks

Assumptions are validated before every run, with plain-language explanations.

04

Report & export

Get a publication-ready report with R / Python code and APA tables.

Bring your data. Get answers.

A publication-ready report in minutes — with reasoning, R/Python code, and an AI tutor.