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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Investortools offers valuable insights into identifying and quantifying the various sources and factors contributing to a portfolio’s overall return. Delve into the mathematics that underpin these calculations while discovering how the Custom Index Manager (CIM) can assist in elucidating your portfolios' performance. Factor-based attribution breaks down returns by utilizing independent systematic factors such as income effects, yield curve shifts, and spread impacts. In contrast, allocation attribution focuses on the excess return—calculated as the difference between the portfolio's total return and the index's total return—resulting from strategic allocation choices and variances within each category. Additionally, simulated performance delivers an in-depth (Bottom-Up) analysis of Total Return, enhancing your understanding of investment outcomes. This comprehensive approach equips investors with the necessary tools to make informed decisions and optimize their portfolio strategies effectively.

Description

Our platform offers ready-to-use APIs that integrate both conventional and alternative credit data sources, facilitating quicker data ingestion for more accurate credit assessments. It features a robust predictor library built on extensive credit expertise, along with pre-configured attributes that enhance credit decision-making. Our proprietary AI and ML credit modeling approach is fully explainable and yields substantial improvement in outcomes. Users can simultaneously run multiple champion-challenger models, allowing for comparative analysis of credit strategies within a single streamlined workflow. Deployment of new credit models and strategies is swift and efficient. Our AI-driven credit underwriting models are not only explainable and FCRA-compliant but also designed to be highly reliable. They include automated and simplified reasoning for adverse actions, ensuring transparency. Comprehensive documentation is provided, detailing the logic behind the models, their robustness, and any limitations. The attributes of our models are subjected to rigorous disparate impact assessments to confirm the absence of bias in their design. Furthermore, our AI credit models offer a wide and varied range of reasons for adverse actions, ensuring that users have a comprehensive understanding of the decision-making process and its implications. Overall, this combination of features empowers organizations to make informed and equitable credit decisions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Plaid

Integrations

Plaid

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Investortools

Founded

1983

Country

United States

Website

www.invtools.com

Vendor Details

Company Name

Scienaptic AI

Founded

2014

Country

United States

Website

www.scienaptic.ai/

Product Features

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

Product Features

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

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