In our last blog, George Kastner detailed how changing business processes or systems can be complex but also can be rewarding.
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Are you ready to manage change in your organization?
Change is often difficult and uncomfortable. But it also encourages innovation and leads to better business opportunities
Quotient™ Business Value Proposition
Our flagship product, Quotient™, provides modern, efficient, and powerful analysis combined with simplified access to a wide array of financial content.
Quotient Makes Learning How To Use Quotient™ Easy With Interactive Tours And Helpful Hints
Access Quotient’s Interactive Tour from the Help Menu, as shown below. The Interactive Tour from Quotient’s Home Page directs new users on key elements including the Data Visual, Navigation Panel and the Application Ribbon. The Interactive Tour starts with following...
Displaying SQL Code That Defines Data Item’s Retrieval
In our recent blog “Intro to Qubles,” we discussed how Quotient leverages the respective strengths of Python and SQL to create a proprietary Python data container class that we call “Qubles.” For sourced data, we display the Python and SQL code that drive that the...
Quotient™ Makes Factor Construction Transparent
Quotient makes factor construction transparent through what we call the “lineage” functionality. With the lineage functionality, users can specify the raw data item components of a derived data item to be returned along with the computation of a derived data item....
Making Factor Construction Simple with Quotient™
Factors are the key driver for active quantitative investment research. Factors are derived data items. The raw data item used to generate factors can be technical price and trading volume data, and fundamental data including financial statements and...
Introduction to Quotient™ Quble: A Financial Analysis Tool
The technological world is fast evolving, that's why financial analysts need knowledge in Python, SQL, and Quble. Data records form the backbone of all financial analysis. Quble takes financial modeling to the next level by using a revolutionary approach to data...
Point In Time Data Sets
Advantage Point in time financial data sets have been built so that users can access historical financial statements including a date of when the financial statements were known. Non-point in time data sets do not include a date of when the information became...
Alternative Data Sets Guide Better Quantitative Analysis
Alternative Data Alternative data sets are quite sought after in the quantitative investment management world. When everybody is using the same traditional metrics and means, competitive advantage lies in being able to outperform someone with a similar background. In...
Advanced Quantitative Investment Software For Wealth Managers
Financial technology is keeping up with the ever-changing pace of the modern economy. Standard investment strategies, betting on risk and opportunities are increasingly reliant on the fintech industry for their success. Market and Portfolio Analysis In the past five...
Quant Analysis – (Quietly) Breaking Down Walls
I was recently watching the movie “Moneyball” (based on the best-selling book: Moneyball: The Art of Winning an Unfair Game by Michael Lewis). The movie chronicles the life of Billy Beane – a figure that transformed baseball (and all sports) by...