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Estimating the Private Sector Rental Vacancy Rate for Canterbury
Estimating the Private Sector Rental Vacancy Rate for Canterbury

... Survey) to estimate the vacancy rate for both rental and owner occupied homes 1. It uses the decennial Census to benchmark and revise the estimates. A vacant rental home is a home that is vacant and is advertised for rent. It should be available all year round and not include short term arrangements ...
A Toolkit for Addressing Difficulties in Accessing
A Toolkit for Addressing Difficulties in Accessing

... members of a group of companies (which may gain tax advantages through non-arm’s length transfer pricing) and independent enterprises. It also provides an objective standard that attempts to replicate market results. By helping to level the playing field, and by virtue of the fact that it represents ...
How Analytics Drives Customer Life-Cycle Management
How Analytics Drives Customer Life-Cycle Management

... like “high-value customers tend to buy across more channels.” As a senior marketer at a large insurance company put it, “Much of the work of the strategy and analytics group at our company is reactive, not proactive — very connected to specific events, but business operators using the insight were n ...
Proposal for the establishment of RWCs in RA-III
Proposal for the establishment of RWCs in RA-III

... for its key role in the implementation of the WIGOS Pre-Operational Phase on both regional and national level. The proposal for implementation of the RWC in RA-III will consider the Concept Note on establıshment of WMO Regıonal WIGOS Centres adopted by EC-68 as the principal guideline. 1.4. The curr ...
Private Equity Investment in India: Efficiency vs Expansion
Private Equity Investment in India: Efficiency vs Expansion

... will eventually receive PE and use the differential timing of the deals to examine the effects of the investment. The exact timing of the deals is arguably arbitrary because PE investors are unable to compare internal financial data across all prospective investees at the same time. Rather, they req ...
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... both the unexplained variance of returns and on the variance of the predictor variable, we create a direct mapping from the investor’s prior beliefs on model parameters to a well-defined prior over the R2 . In our empirical implementation, we consider returns on a stock index and on a long-term bond. ...
Task Force on Taxation of the Digital Economy
Task Force on Taxation of the Digital Economy

... companies serving millions of users are changing the rules and bringing radical transformation to all sectors of the economy: through their intense reliance on digital technologies; through their innovative business models; though the abundant financing accessible to them, particularly venture capit ...
The Impact of Foreign-Currency Movements on Equity
The Impact of Foreign-Currency Movements on Equity

... to be accurate, complete, or timely. Morningstar shall not be responsible for any trading decisions, damages, or other losses resulting from, or related to, this information, data, analyses or opinions or their use. Past performance is no guarantee of future results. ...
Market Risk and Model Risk For a Financial Institution Writing Options
Market Risk and Model Risk For a Financial Institution Writing Options

... management. These models are necessarily imperfect, and when options are involved, the models require a volatility input that must be forecasted, subject to error. This creates “model risk” to which nearly all participants in derivatives markets are exposed. In this paper, we conduct an empirical si ...
Intensity and Effectiveness of SIFI Supervision
Intensity and Effectiveness of SIFI Supervision

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... multiple institutions and delayed publication. Maintaining the enthusiastic support of the business community is crucial to this data collection program. The data must be kept secure, so that proprietary information is not leaked. And the collection process must be streamlined and coordinated so tha ...
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Ensemble Pruning Via Semi-definite Programming Yi Zhang Samuel Burer W. Nick Street

... example, in a peer-to-peer spam email filtering system, each email user can introduce spam filters from other users and construct an ensemble-filter. However, because of the difference of interest among email users, sharing filters indiscriminately is not a good solution. The sharing system should b ...
MySQL Cluster - Villanova Computer Science
MySQL Cluster - Villanova Computer Science

... Image source ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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