Strategy

At the turn of the century, the author examined changes in thinking about effective strategies for development.

This century has been marked by two great economic experiments. The outcome of the first set, the socialist experiment that began, in its more extreme form, in the Soviet Union in 1917, is now clear. The second experiment is the movement back from a socialist economy to a market economy. Ten years after the beginning of the transition in Eastern Europe and the Former Soviet Union: How do we assess what has happened? What are the lessons to be learned?

The author argues that the Russia's transitional failures stem from a misunderstanding of the very foundations of a market economy, as well as a failure to grasp the fundamentals of reform processes.

Rapid comprehensive change in the physical pattern of a city is a minor revolution — as is the transformation of 42nd Street and Times Square. Two decades ago the agenda for change posed two big questions: Is it possible for cities to reshape what the market is likely to deliver in an area? Is large-scale redevelopment even a plausible political objective, especially when aggressive actions such as condemnation are deemed a necessary part of the strategy?

Technical analysis, also known as "charting," has been a part of financial practice for many decades, but this discipline has not received the same level of academic scrutiny and acceptance as more traditional approaches such as fundamental analysis. One of the main obstacles is the highly subjective nature of technical analysis — the presence of geometric shapes in historical price charts is often in the eyes of the beholder.

Sociologists contend that industries can be importantly characterized as sets of interlocking producer positions. This paper argues that this distinctively relational conception of a market represents a powerful framework for depicting and analyzing the process of technical change.

Prior evaluations are frequently challenged and need to be revised. We propose that an important determinant of such revisions is the degree to which the challenge provides an opportunity to compare the target against a competitor. Whenever a challenge offers an opportunity, the information contained in the challene will carry a disproportionate weight in the revised judgments. We call this proposition the comparison-revision hypothesis.

This paper introduces a class of state dependent jump (SDJ) models in which the arrival intensity and jump sizes depend on a given set of state variables, including lagged jumps. With this model, we investigate the structure of jumps to U.S. equity indices, concentrating on the predictability of jumps times if found for all of the indices considered: Standard and Poor's 500 and Mid-Cap, the Russell 1000, 2000, and 3000 indices, the Wilshire 5000 and the Nasdaq 100 (NDX).