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Time-Series Forecasting Using Attention Mechanism

Analytics Vidhya

Introduction Time-series forecasting plays a crucial role in various domains, including finance, weather prediction, stock market analysis, and resource planning. In recent years, attention mechanisms have emerged as a powerful tool for improving the performance of time-series forecasting models.

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Learning Time Series Analysis & Modern Statistical Models

Analytics Vidhya

Introduction Statistical models are significant for understanding and predicting complex data. A viable area for statistical modeling is time-series analysis. Time series data are collected over time and can be found in various fields such as finance, economics, and technology.

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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Robust datasets that hold a large and diverse set of data from which to glean inferences create more useful and accurate forecasts.

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Gaining Financial Management Effectiveness in Midsize Enterprises

David Menninger's Analyst Perspectives

Doing more with less is the defining characteristic of finance and accounting departments in midsize enterprises, which ISG research defines as organizations with between 100 and 999 workers. Our Office of Finance Benchmark Research captured the needs versus resources scenario of midsize and large organizations.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. Finance is not physics. Perhaps finance is harder than physics. All financial models are wrong.

Modeling 215
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Accelerating AI for financial services: Innovation at scale with NVIDIA and Microsoft

CIO Business Intelligence

In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.

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AI-Enabled Contingency Planning is More Accessible Than Ever

David Menninger's Analyst Perspectives

The ability to rapidly model and plan different scenarios at a useful level of detail enables organizations to assess alternate options more frequently and pivot quickly when conditions change enough to warrant it.