The stock market and innovative capability in the New Economy: the optical networking industry

2003 ◽  
Vol 12 (5) ◽  
pp. 963-1034 ◽  
Author(s):  
M. Carpenter
2001 ◽  
Vol 7 (3) ◽  
pp. 406-421
Author(s):  
Lawrence Mishel

This article reviews wage trends in the USA during the 1990s. Positive findings include rising living standards and a narrowing of the pronounced income inequality, particularly at the bottom. Explanations discussed include sustained low unemployment, ‘new economy effects', government policy (e.g. minimum-wage increases), and the limited role of the stock market boom. Problems are identified, such as the increased (paid) work effort required. The article closes with an evaluation of the likely consequences of the recent downturn.


2001 ◽  
Vol 177 ◽  
pp. 56-69 ◽  
Author(s):  
John Kay

Over the past five years, there have been widespread claims — not only that there is a ‘new economy’ but that a new economy requires new economics. This article reviews the claims of this kind which have been made in three principal areas — in the measurement of economic statistics and in macroeconomic management, in company and stock market valuations, and in the nature of competitive advantage and the origins of business success. In each of these areas, it finds little basis for believing that revolutionary, rather than evolutionary, change is required. Indeed the application of well established economic principles and concepts might have saved investors, commentators, and those whose job it is to manage the economy, from costly mistakes


Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


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