Bøger i Evolutionary Economics and Soc serien

An innovative feature of this book is its econocentric structure, focusing on digital designs. From the outset, econocentrism is assumed to be a core engine of capitalism, like money. The new coronavirus pandemic has changed lifestyles worldwide, which are unlikely ever to return in their original form. This great transformation will change the nature of the socio-economic system itself and will be centered on digital designs. At present, money already is beginning to undergo a major revolution in that sense. Many books dealing with digital designs and innovations have been published, but few if any of them focus on monetary and analytical methods in the way that this present volume does.The book then contains 6 parts: Evolution of money and thinking complexities in the AI era; Goods market and the future of labor market; Computational social approaches to social dilemmas, smart city, cryptocurrencies; Artificial market experiments; The randomness and high frequencies in financial data; Other trading strategy issues and the effects of AI usage. These issues may be indispensable subjects in our age. Study these subject, and have a step forward to the future society!

This is the first book that systematically considers the academic achievements of Japanese institutionalist post-Keynesian economists in the postwar period and argues that we can learn much from their intellectual heritage. Those Japanese economists include the world-renowned figures, Shigeto Tsuru and Hirofumi Uzawa, whose inheritance came from Keynes, Marx, and institutionalism. In the era of globalization after the 1990s, economic inequality and social divide have intensified all over the world. In this situation, the academic achievements of those economists in postwar Japan should be reconsidered for the aim of establishing a new political economy. With this perspective, the book looks at what we can learn from Japanese institutionalist post-Keynesian economists In particular, the essence of research work that each of them developed is identified, focusing on the total image of the economy for contemporary capitalism. Those economists benefited from the diverse legacies of Keynes, Marx, Kalecki and institutionalist economists such as Veblen and Galbraith. When their research is examined systematically, Japanese institutionalist post-Keynesians are commonly characterized as those who developed their institutional analysis of contemporary capitalism with in-depth theoretical and empirical studies, with the aim of establishing their own political economy as the moral science of civil society. These important features provide us with insightful implications for institutional economics in the 21st century.

This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal component analysis, randomness tests, and visualization methods, the authors' approach has the benefits of universality and simplicity of data analysis, regardless of data types, structures, or specific field of science. First, mathematical preparation is described. The RMT-PCA and the RMT-test utilize the cross-correlation matrix of time series, C = XXT, where X represents a rectangular matrix of N rows and L columns and XT represents the transverse matrix of X. Because C is symmetric, namely, C = CT, it can be converted to a diagonal matrix of eigenvalues by a similarity transformation SCS-1 = SCST using an orthogonal matrix S. When N is significantly large, the histogram of the eigenvalue distribution can be compared to the theoretical formula derived in the context of the random matrix theory (RMT, in abbreviation). Then the RMT-PCA applied to high-frequency stock prices in Japanese and American markets is dealt with. This approach proves its effectiveness in extracting "trendy" business sectors of the financial market over the prescribed time scale. In this case, X consists of N stock- prices of length L, and the correlation matrix C is an N by N square matrix, whose element at the i-th row and j-th column is the inner product of the price time series of the length L of the i-th stock and the j-th stock of the equal length L. Next, the RMT-test is applied to measure randomness of various random number generators, including algorithmically generated random numbers and physically generated random numbers. The book concludes by demonstrating two applications of the RMT-test: (1) a comparison of hash functions, and (2) stock prediction by means of randomness, including a new index of off-randomness related to market decline.