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New York, NY, United States

Pridham B.,Novus Inc
Conference Proceedings of the Society for Experimental Mechanics Series | Year: 2013

Developments involving building re-use can present numerous challenges with respect to evaluation of structural floor capacity and establishing controls for serviceability. Retrofit strategies can be particularly challenging when engineering drawings of the structure are scant, or even non-existent. This paper presents a case study involving renovation of a lightweight mezzanine warehouse floor into executive office space. During early construction the floor was observed to be particularly lively, attributable to its lightweight, long-span construction and lack of non-structural elements. The author was engaged by the client to assess the floor and evaluate expected performance following fit-out. This included field measurements of frequency response and footfall vibrations, development of a computer model and correlation of the model with the field data. Simulations were conducted to validate random force models presented in the literature. The force and response models were then employed to assess expected performanceof the floor. All modeling was conducted in the absence of engineering drawings, providing valued lessons on FEM techniques for floor systems. Measurements were also conducted following partial fit-out to track the change in the floor's dynamics and footfall responses. © The Society for Experimental Mechanics, Inc. 2013. Source


Patent
Novus Inc | Date: 2013-11-05

A system, method, and computer program product for modeling a risk are provided. An equalizer and an equalizer backend model portfolio risk based on a scenario generated by the equalizer. A scenario includes an active factor, a passive factor, and a change in an active factor level. To model portfolio risk, the equalizer backend uses two-tiered regression analysis. In the first regression, the equalizer backend regresses the passive factor against the active factor and determines changes in a passive factor level. In the second regression, the equalizer backend regresses the changes in the passive and active factor levels against positions in the portfolio that models portfolio risk. The equalizer displays the modeled portfolio risk.


Trademark
Novus Inc | Date: 2016-02-03

Pharmaceutical preparations for the care and treatment of ophthalmic diseases; saffron.


Trademark
Novus Inc | Date: 2016-06-28

Handbags. Shoes.


News Article | March 17, 2015
Site: www.prweb.com

Novus, a portfolio analytics and intelligence platform that helps institutional investors analyze their portfolios, today announced the release of their updated Hedge Fund Overlap Matrix, a free interactive tool that allows users to access public holdings data. This tool is updated every quarter with the latest holdings information. The overlap matrix is an interactive visualization that provides users with an innovative way to explore manager portfolios. Overlap is a measure of similarity between portfolios; and the matrix is a collection of 2500 overlap values. Behind each overlap value are securities that are shared by the two intersecting managers. The visualizations enable users to study managers’ uniqueness, crowdedness, and sizing, as well as individual investments. For this matrix, Novus uses public holdings data for a group of 50 managers associated with Julian Robertson’s Tiger Management: the Tiger Cubs. “The Hedge Fund Overlap Matrix is an irreplaceable tool for investors to understand the portfolio composition of their managers and their own exposure to individual securities,” said Stanley Altshuller, Chief Research Officer at Novus. “It allows them to grasp manager similarities, crowded positions, and the diversification value each manager adds. Managers use the tool to identify other investors in their names and gauge the level of crowding in each security.” To view the Hedge Fund Overlap Matrix, please visit: http://bit.ly/1GV5Mdp To learn more about Novus, please visit: http://www.novus.com Novus was founded in 2007 by a group of investors, data scientists and engineers to build a portfolio analytics and intelligence platform for institutional investors. Today, the platform is used by some of the top hedge funds, fund of funds, pensions & endowments, and sovereign wealth funds to analyze their risk, performance, and attribution. Portfolio managers, investor relations and operations teams use the Novus Platform in different ways, but most use the platform to analyze and manage their risks, report to their investors, and ultimately generate more alpha with better portfolio intelligence. Through the firm's data-driven approach, industry-leading analytics and unique team of ex-portfolio managers and investors, Novus is transforming the way the world invests. Novus is based in New York, with offices in San Francisco, California and Zurich, Switzerland. For more information, visit http://www.novus.com.

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