Swiss Finance Institute

About: Swiss Finance Institute is a education organization based out in Zurich, Switzerland. It is known for research contribution in the topics: Portfolio & Market liquidity. The organization has 217 authors who have published 2041 publications receiving 61713 citations.

Earnings Management to Exceed Thresholds

Abstract: Earnings provide important information for investment decisions. Thus executives--who are monitored by investors, directors, customers, and suppliers--acting in self-interest and at times for shareholders, have strong incentives to manage earnings. We introduce behavioral thresholds for earnings management. A model shows how thresholds induce specific types of earnings management. Empirical explorations identify earnings management to exceed each of three thresholds: report of positive profits, sustain recent performance, and meet analysts' expectations. The positive profits threshold proves predominant. The future performance of firms that have possibly boosted earnings just across a threshold appears poorer than that of less suspect control groups.

A Simple Approximate Long-Memory Model of Realized Volatility

Abstract: The paper proposes an additive cascade model of volatility components defined over different time periods. This volatility cascade leads to a simple AR-type model in the realized volatility with the feature of considering different volatility components realized over different time horizons and thus termed Heterogeneous Autoregressive model of Realized Volatility (HAR-RV). In spite of the simplicity of its structure and the absence of true long-memory properties, simulation results show that the HAR-RV model successfully achieves the purpose of reproducing the main empirical features of financial returns (long memory, fat tails, and self-similarity) in a very tractable and parsimonious way. Moreover, empirical results show remarkably good forecasting performance. (JEL: C13, C22, C51, C53)

Economic Networks: The New Challenges

Abstract: The current economic crisis illustrates a critical need for new and fundamental understanding of the structure and dynamics of economic networks. Economic systems are increasingly built on interdependencies, implemented through trans-national credit and investment networks, trade relations, or supply chains that have proven difficult to predict and control. We need, therefore, an approach that stresses the systemic complexity of economic networks and that can be used to revise and extend established paradigms in economic theory. This will facilitate the design of policies that reduce conflicts between individual interests and global efficiency, as well as reduce the risk of global failure by making economic networks more robust.