Bloomberg Equities App Case Study
 
 
 
 
 
 
 

AI Problem + THINKSHEET Solution


AI's biggest problem for professionals is represented by IBM's Watson's catastrophic failure in the high profile MD Anderson Cancer Clinic project. The AI algorithms could not accurately score the acronyms of the oncologists.




THINKSHEET solves the problem by providing professionals with easy-to-use tools that neable them to score their own esoteric language -- as you can see in the medical devices model below.




The users input the language and scores for all of the judgments and THINKSHEET generates the output you see.




 
 
 
TMT Portfolio Ranking App
 
 
 
 
 



This TMT (Technology, Media & Telecom) model ranks 12 stocks under the China Strategic Competition Scenario. The QL ranking is on the left and the +QT on the right.




The 3 Risks for the Ranking Model are Products & Services (PRSV), Competition (COMP) and Government (GOVT) -- with 8 potential combinations. None is best (100% Score) and All the Worst at (-100% Score). MSFT has none of the risks and TMUS has GOVT risk due to the pending merger with Sprint. TSLA has All of the risks.


THINKSHEET pre-populates alternative sets of Risk Metrics from the TST Metrics Library with the metrics names and the symbols that appear in the Ranking Model. Users can customize them with any metrics and symbols. They can then replace the existing Risk Metrics with a new set at the click of a button.

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THINKSHEET Target Price App
 
 
 
 
 
 

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The model below forecasts the Target Price of Tesla over a 1 year period

  

The Drivers Need

 

We developed our TST Equities App on the Bloomberg App Store to meet the need of BBG subscribers to model the risk factors that drive their stock prices (which are usually qualitative) and use them to risk-adjust the P/E Multiples to get a target price.

The QL Solution

 
The Risk Sub-Model was the QL Solution. Our TST Equities App on the Bloomberg App Store – APPS TSTEQ – gives Bloomberg subscribers a new way to measure and analyze risk in order to generate a risk-adjusted target price and return for individual stocks. Users input 7 risk factors, their weights, impact and probability and TST automates a Risk Score for each factor and an Overall Risk Score. There is more! The recent upgrade allows users to perform QN and QL risk analysis on portfolios of stocks and create risk-adjusted portfolio reshuffling.

  

The Drivers Solution

 

The Risk-Adjusted Target Price Model was the Drivers Solution. There are 3 models: (1) Risk, (2) EPS Estimates or P/E Multiples, and (3) Risk-Adjusted Target Price & Return. THINKSheet combines the 3 models on 1 dynamic page so Bloomberg users can see a ll their complete analysis in one view. They can then change any judgment and see the new price & return INSTANTLY!