Manuel Santos

•Growth model proposed to analyze stock market volatility.•Model generates two-thirds of the observed volatility in the financial variables.•Most of the volatility of financial variables in our model comes from price markups.•Accounting measures of profitability are weakly correlated with stock values.•Price markup measures are highly correlated with stock values. A variant of the neoclassical growth model is considered to study the role of innovation, lags in technology adoption, total factor productivity TFP, and price markups as main determinants of asset price volatility. The model confers a prominent role to price markups as opposed to other macroeconomic sources of uncertainty. In the data, price markups are highly correlated with stock market values, whereas other financial measures of profitability exhibit much less volatility and are weakly correlated with stock market values.

Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems. Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems. Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

The application of marketing concepts to sports products and services is vital to the success of the industry. When appealing to the target audience of an event, it is essential to construct a strong marketing plan by utilizing emergent technologies and strategies. Strategies in Sports Marketing: Technologies and Emerging Trends provides relevant information on the marketing strategies and marketing trends of sporting events by highlighting the plans and tactical operations that sports organizations conduct when integrating marketing strategies. This publication is a comprehensive reference source for students, researchers, academicians, professionals and practitioners, as well as scientists and executive managers interested in the marketing strategies of sporting events. The application of marketing concepts to sports products and services is vital to the success of the industry. When appealing to the target audience of an event, it is essential to construct a strong marketing plan by utilizing emergent technologies and strategies. Strategies in Sports Marketing: Technologies and Emerging Trends provides relevant information on the marketing strategies and marketing trends of sporting events by highlighting the plans and tactical operations that sports organizations conduct when integrating marketing strategies. This publication is a comprehensive reference source for students, researchers, academicians, professionals and practitioners, as well as scientists and executive managers interested in the marketing strategies of sporting events.

In this article, we propose a recursive equilibrium algorithm for the numerical simulation of nonoptimal dynamic economies. This algorithm builds upon a convergent operator over an expanded set of state variables. The fixed point of this operator defines the set of all Markovian equilibria. We study approximation properties of the operator. We also apply our recursive equilibrium algorithm to various models with heterogeneous agents, incomplete financial markets, endogenous and exogenous borrowing constraints, taxes, and money.

The growth of new technologies, internet, virtualization, and the globalization of production and consumption has given focus on new marketing strategies in the cyber era. This has shaped a demand for an innovative conceptual framework for the marketing industry. Marketing in the Cyber Era: Strategies and Emerging Trends brings together best practices and innovative approaches for effective marketing in today’s economy. Stressing the importance of structure, strategy, leadership, and marketing in the Cyber Era; this book is a useful tool for upper-level students, researchers, academicians, professionals and practitioners, scientists, and executive managers of marketing in profit and non-profit organizations. The growth of new technologies, internet, virtualization, and the globalization of production and consumption has given focus on new marketing strategies in the cyber era. This has shaped a demand for an innovative conceptual framework for the marketing industry. Marketing in the Cyber Era: Strategies and Emerging Trends brings together best practices and innovative approaches for effective marketing in today’s economy. Stressing the importance of structure, strategy, leadership, and marketing in the Cyber Era; this book is a useful tool for upper-level students, researchers, academicians, professionals and practitioners, scientists, and executive managers of marketing in profit and non-profit organizations.

In this paper we consider a simple version of the neoclassical growth model, and carry out an empirical analysis of the main determinants of aggregate investment across countries. The neoclassical growth model predicts that aggregate investment may be influenced by income growth, the capital income share, the relative price of capital, taxes, and other market distortions. We check these investment patterns for both OECD and non-OECD countries. We also decompose investment data into equipment and structures, and explore major factors affecting their relative prices. These empirical exercises shed light into the shape of the neoclassical production function. •Capital income share is not an important determinant of investment.•Taxes matter for OECD, non-pecuniary frictions for non-OECD: pitfalls of pooling regressions.•Great variability in investment equipment/structures and in their relative prices.•But no link between those relative investments and their relative prices.•Cobb–Douglas assumption for production with two aggregate capitals and labor.

In this paper we provide some sufficient conditions for the differentiability of the value function in a class of infinite-horizon continuous-time models of convex optimization arising in economics. We dispense with the assumption of interior optimal paths. This assumption is quite unnatural in constrained optimization, and is usually hard to check in applications. The differentiability of the value function is used to prove Bellman’s equation as well as the existence and continuity of the optimal feedback policy. We also establish the uniqueness of the vector of dual variables. These results become useful for the characterization and computation of optimal solutions.