The Evolution of the Government of Canada's Debt Distribution Framework
This overview includes a brief history highlighting the government's use of the primary and secondary markets to develop a framework for distributing its debt securities to financial market intermediaries and end investors. The framework is also intended to meet the government's debt-strategy objectives of raising stable, low-cost funding and maintaining a well-functioning debt market. Pellerin reviews the government's adoption of a new framework in 1998 as well as the 2005 modifications aimed at attracting continued broad and competitive participation in government auctions.
The overnight market in Canada
The overnight market is an active forum where participants with a temporary surplus or shortage of funds can lend or borrow until the next business day. The level of interest rates in the overnight market has always been closely linked to the Bank of Canada's monetary policy operations. In this article, the authors describe the evolution of the market from its roots in the 1950s, the development of the Bank's monetary policy operations in the market, and how the market operates today. They also examine the outlook for the overnight market, particularly the implications of the new Large-Value Transfer System.
Complexity, Network-Decisions And Alternative Risk Premia: Some New Theories Of Structural Change And Portfolio Decisions.
Structural Change is the basis for many decisions such as government fiscal and monetary policies, government interventions, corporate-expenditure decisions, corporate strategic decisions, portfolio management decisions in finance; household allocation decisions, etc.. Structural change in industries and national economies is increasingly more difficult to detect partly because of the growth and dominance of Complex Systems and “Networks” in modern industries and economies – such Networks and Complex Systems include GVCs (global value chains), retail store networks; franchising networks; internet networks; services networks; credit-chains in industries; online social networks; etc.. The relationship between Complexity and Structural Change is well established in the physics, applied math and economic dynamics literatures. Traditional definitions and modeling of structural change have erroneously focused on changes in labor, technological progress, market share, and or capital – which are grossly inadequate in the new economy and post- global financial crisis (as confirmed by changes in the global retailing and housing industries and other industries). Also the modeling of structural change seems to be constrained by the availability of data, and often omits the relationship between structural change on one hand, and globalization, financial stability and international financial contagion. This article: i) introduces the Operations Strategy Model of structural change, explains how it differs from the Lewis Model of Structural Change; and explains the often omitted relationship between operations strategy (of companies and government agencies) and structural change; ii) introduces other new Complexity-based models/theories of Structural Change in industries; iii) reviews the relationships among Operations Research, Complexity and Structural Change; iv) explains the symbiotic relationship between structural change on one hand, and economic growth, financial stability, financial contagion and globalization; v) discusses the significant gap between academic research and practice and explains some issues and factors that should be considered in the development and testing of structural change models; vi) explains how alternative risk premia can be generated from new models of Structural Change.