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The University of Toronto is dedicated to fostering an academic community in which the learning and scholarship of every member may flourish, with vigilant protection for individual human rights, and a resolute commitment to the principles of equal opportunity, equity and justice. Within the unique university context, the most crucial of all human rights are the rights of freedom of speech, academic freedom, and freedom of research. And we affirm that these rights are meaningless unless they entail the right to raise deeply disturbing questions and provocative challenges to the cherished beliefs of society at large and of the university itself. It is this human right to radical, critical teaching and research with which the University has a duty above all to be concerned; for there is no one else, no other institution and no other office, in our modern liberal democracy, which is the custodian of this most precious and vulnerable right of the liberated human spirit.
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25 King's College Circle
Toronto, Ontario M5S 1A1
(416) 978-5000
NAICS Code Colleges, Universities, and Professional Schools: 611310
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Offshore Outsourcing: Capitalizing On Lessons Learned A Conference For Thought Leaders
This paper discusses literature on outsourcing relative to what seems to be happening in China as China proceeds with her historic transformation of sustained high growth and deep integration into the world economy. It argues that the terminological debates in the literature as to how outsourcing is to be defined,...
Process Modeling Initiatives In The Construction Domain
The concept of intent has only been handled by the COMMIT model. The concept of performance is not common among the sample models. Few models have presented the evolution of entities through phases and life cycle stages. GEPM Generic Construction Process Modeling Method and CONCUR (Concurrent Engineering in Building and...
A Semantic Architecture For The Management Of Highway Construction Supply Chains
This paper presents an architecture for the use of industry standards such as ebXML and BPEL to develop a semantic supply chain in highway construction. Semantic supply chains support the integrated exchange of project development processes in addition to traditional product and resource data (e-procurements). In this type of supply...
The Interregional Incidence of Public Budgets in Federations: Measurement Issues, Evidence From Canada, and Policy Relevance
In this paper, one examines the issue of the incidence of central government budgets in federal countries. In Section 1, one discuss a number of reasons why the picture painted of reality by even the best fiscal flow analysis is inevitably partial and hence inherently flawed to an unknowable extent....
Validity Vs Reliability: Implications for Management
As the modern economy has evolved, business has increasingly used management science and information technology in an attempt to generate reliability - predictable outcomes on a consistent basis. Examples from recent business history include Enterprise Resource Planning ERP systems, which keep track of corporate data in a single database and...
Residual Model for Futures Prices
This paper studies the modeling of the term structure of futures prices from commodities. A factor-model for the term structure of futures prices is presented aimed at providing flexibility on the drivers. This model allows a good fitting of curve movements as for example changes in slope and concavity. It...
Hedging Human Capital
This white paper article argues that many of the insurance decisions that the clients face during their life can be phrased in terms of risk, return and most importantly the hedging motive, a.k.a. "the correlations". It also reveals that investments are bought not only because it is expected from them...
Term Structure of Commodities Futures: Forecasting and Pricing
The development of risk management methodologies for non-gaussian markets relies often on the assumption that the underlying market factors have a gaussian distribution. While advances have been made in the modeling of more general marginal distributions of the risk factors, the modeling of non-gaussian dependence structures is much less advanced....
Portfolio Optimization When Assets Have the Gaussian Mixture Distribution
Portfolios of assets whose returns have the Gaussian mixture distribution are optimized in the static setting to find portfolio weights and efficient frontiers using the probability of outperforming a target return and Hodges' modified Sharpe ratio objective functions. The sensitivities of optimal portfolio weights to the probability of the market...
Financial Derivatives and Partial Differential Equations
Assets of all sorts are traded in financial markets: stocks and stock indices, foreign currencies, loan contracts with various interest rates, energy in many forms, agricultural products, precious metals, etc. The prices of these assets fluctuate, sometimes wildly. If you could anticipate the price fluctuations to any significant extent, then...
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