Iowa Finance Authority Low-Income Housing Tax Credit Program 2014 Qualified Allocation Plan, October 2, 2013

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 4% Qualified Allocation Plan, October 6, 2014

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 4% Qualified Allocation Plan, September 7, 2016

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2015 9% Qualified Allocation Plan, October 6, 2014

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2016 9% Qualified Allocation Plan, September 25, 2015

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2017 9% Qualified Allocation Plan, September 23, 2016

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

IEDA Annual Report Displayed by County, January 2016

The Iowa Economic Development Authority (IEDA) was created in 2011 to replace the Iowa Department of Economic Development as part of the complete overhaul of Iowa’s economic development delivery model. Our mission is to strengthen economic and community vitality by building partnerships and leveraging resources to make Iowa the choice for people and business. Through our two main divisions – business development and community development – IEDA administers several state and federal programs to meet its goals of assisting individuals, communities and businesses.

IEDA Annual Report Displayed by Status, January 2016

The Iowa Economic Development Authority (IEDA) was created in 2011 to replace the Iowa Department of Economic Development as part of the complete overhaul of Iowa’s economic development delivery model. Our mission is to strengthen economic and community vitality by building partnerships and leveraging resources to make Iowa the choice for people and business. Through our two main divisions – business development and community development – IEDA administers several state and federal programs to meet its goals of assisting individuals, communities and businesses.

Evaluating multivariate volatility forecasts : how effective are statistical and economic loss functions?

Multivariate volatility forecasts are an important input in many financial applications, in particular portfolio optimisation problems. Given the number of models available and the range of loss functions to discriminate between them, it is obvious that selecting the optimal forecasting model is challenging. The aim of this thesis is to thoroughly investigate how effective many commonly used statistical (MSE and QLIKE) and economic (portfolio variance and portfolio utility) loss functions are at discriminating between competing multivariate volatility forecasts. An analytical investigation of the loss functions is performed to determine whether they identify the correct forecast as the best forecast. This is followed by an extensive simulation study examines the ability of the loss functions to consistently rank forecasts, and their statistical power within tests of predictive ability. For the tests of predictive ability, the model confidence set (MCS) approach of Hansen, Lunde and Nason (2003, 2011) is employed. As well, an empirical study investigates whether simulation findings hold in a realistic setting. In light of these earlier studies, a major empirical study seeks to identify the set of superior multivariate volatility forecasting models from 43 models that use either daily squared returns or realised volatility to generate forecasts. This study also assesses how the choice of volatility proxy affects the ability of the statistical loss functions to discriminate between forecasts. Analysis of the loss functions shows that QLIKE, MSE and portfolio variance can discriminate between multivariate volatility forecasts, while portfolio utility cannot. An examination of the effective loss functions shows that they all can identify the correct forecast at a point in time, however, their ability to discriminate between competing forecasts does vary. That is, QLIKE is identified as the most effective loss function, followed by portfolio variance which is then followed by MSE. The major empirical analysis reports that the optimal set of multivariate volatility forecasting models includes forecasts generated from daily squared returns and realised volatility. Furthermore, it finds that the volatility proxy affects the statistical loss functions’ ability to discriminate between forecasts in tests of predictive ability. These findings deepen our understanding of how to choose between competing multivariate volatility forecasts.

Impact of the Corporate Law Economic Reform Program Act 1999 on initial public offering prospectus earnings forecasts

Commencing 13 March 2000, the Corporate Law Economic Reform Program Act 1999 (Cth) introduced changes to the regulation of corporate fundraising in Australia. In particular, it effected a reduction in the litigation risk associated with initial public offering prospectus disclosure.We find that the change is associated with a reduction in forecast frequency and an increase in forecast value relevance, but not with forecast error or bias. These results confirm previous findings that changes in litigation risk affect the level but not the quality of disclosure. They also suggest that the reforms’ objectives of reducing fundraising costs while improving investor protection, have been achieved.

Optimizing weatherization investments in low-income housing : economic guidelines and forecasts /

Feb. 1980.

Impact of the Corporate Law Economic Reform Program Act 1999 on initial public offering prospectus earnings forecasts

Commencing 13 March 2000, the Corporate Law Economic Reform Program Act 1999 (Cth) introduced changes to the regulation of corporate fundraising in Australia. In particular, it effected a reduction in the litigation risk associated with initial public offering prospectus disclosure. We find that the change is associated with a reduction in forecast frequency and an increase in forecast value relevance, but not with forecast error or bias. These results confirm previous findings that changes in litigation risk affect the level but not the quality of disclosure. They also suggest that the reforms' objectives of reducing fundraising costs while improving investor protection, have been achieved.

On the efficacy of techniques for evaluating multivariate volatility forecasts

The performance of techniques for evaluating multivariate volatility forecasts are not yet as well understood as their univariate counterparts. This paper aims to evaluate the efficacy of a range of traditional statistical-based methods for multivariate forecast evaluation together with methods based on underlying considerations of economic theory. It is found that a statistical-based method based on likelihood theory and an economic loss function based on portfolio variance are the most effective means of identifying optimal forecasts of conditional covariance matrices.