Towards evolutionary predictions:Current promises and challenges

Evolution has traditionally been a historical and descriptive science, and predicting future evolutionary processes has long been considered impossible. However, evolutionary predictions are increasingly being developed and used in medicine, agriculture, biotechnology and conservation biology. Evolutionary predictions may be used for different purposes, such as to prepare for the future, to try and change the course of evolution or to determine how well we understand evolutionary processes. Similarly, the exact aspect of the evolved population that we want to predict may also differ. For example, we could try to predict which genotype will dominate, the fitness of the population or the extinction probability of a population. In addition, there are many uses of evolutionary predictions that may not always be recognized as such. The main goal of this review is to increase awareness of methods and data in different research fields by showing the breadth of situations in which evolutionary predictions are made. We describe how diverse evolutionary predictions share a common structure described by the predictive scope, time scale and precision. Then, by using examples ranging from SARS-CoV2 and influenza to CRISPR-based gene drives and sustainable product formation in biotechnology, we discuss the methods for predicting evolution, the factors that affect predictability and how predictions can be used to prevent evolution in undesirable directions or to promote beneficial evolution (i.e. evolutionary control). We hope that this review will stimulate collaboration between fields by establishing a common language for evolutionary predictions

LONG-TERM AND SHORT-TERM EQUITY MARKET PRICE INTERACTIONS BETWEEN AUSTRALIA AND THE CHINESE STATES *

This study investigates the extent and manner of long-term and short-term price interaction between the equity market of Australia and those of China, Hong Kong, Singapore and Taiwan taking into account the effect of the Asian financial crisis. It uses cointegration and generalised forecast variance and impulse response analyses. The study finds no long-term price relationship between the equity markets of Australia and the Chinese states. The short-term evidence indicates that Australia was only significantly interdependent with Hong Kong during the pre-Asian crisis period and with Hong Kong and Singapore during the post-crisis period. Australia and these markets react to a shock from each other immediately during the first day and complete this reaction by day two. These findings are useful for investors and policy makers, especially in light of the economic importance of these nations and China's recent admittance to the World Trade Organisation. Copyright Blackwell Publishing Ltd/University of Adelaide and Flinders University 2005..