Mathematics of Discrete Structures for Computer Science

The social structure of accumulation (SSA) approach seeks to explain the long-term fortunes of capitalist economies in terms of the effect of political and economic institutions on growth rates. This book offers an ideal introduction to this powerful tool for understanding capitalist growth, analysing the social and economic differences between countries and the reasons for the successes and failures of institutional reform. The contributors cover a wide range of topics, including the theoretical basis of the SSA approach, the postwar financial system, Marxian and Keynesian theories of economic crisis, labour-management relations, race and gender issues, and the history of institutional innovation. Combining newly written essays with classic articles of the SSA school, the book examines the international economy and the economies of Japan, South Africa, and Puerto Rico, as well as the United States.

The social structure of accumulation (SSA) approach seeks to explain the long-term fortunes of capitalist economies in terms of the effect of political and economic institutions on growth rates. This book offers an ideal introduction to this powerful tool for understanding capitalist growth, analysing the social and economic differences between countries and the reasons for the successes and failures of institutional reform. The contributors cover a wide range of topics, including the theoretical basis of the SSA approach, the postwar financial system, Marxian and Keynesian theories of economic crisis, labour-management relations, race and gender issues, and the history of institutional innovation. Combining newly written essays with classic articles of the SSA school, the book examines the international economy and the economies of Japan, South Africa, and Puerto Rico, as well as the United States.

This book examines whether continuous-time models in frictionless financial economies can be well approximated by discrete-time models. It specifically looks to answer the question: in what sense and to what extent does the famous Black-Scholes-Merton (BSM) continuous-time model of financial markets idealize more realistic discrete-time models of those markets? While it is well known that the BSM model is an idealization of discrete-time economies where the stock price process is driven by a binomial random walk, it is less known that the BSM model idealizes discrete-time economies whose stock price process is driven by more general random walks. Starting with the basic foundations of discrete-time and continuous-time models, David M. Kreps takes the reader through to this important insight with the goal of lowering the entry barrier for many mainstream financial economists, thus bringing less-technical readers to a better understanding of the connections between BSM and nearby discret

This book examines whether continuous-time models in frictionless financial economies can be well approximated by discrete-time models. It specifically looks to answer the question: in what sense and to what extent does the famous Black-Scholes-Merton (BSM) continuous-time model of financial markets idealize more realistic discrete-time models of those markets? While it is well known that the BSM model is an idealization of discrete-time economies where the stock price process is driven by a binomial random walk, it is less known that the BSM model idealizes discrete-time economies whose stock price process is driven by more general random walks. Starting with the basic foundations of discrete-time and continuous-time models, David M. Kreps takes the reader through to this important insight with the goal of lowering the entry barrier for many mainstream financial economists, thus bringing less-technical readers to a better understanding of the connections between BSM and nearby discret

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