Type of earnings management and the effect of ownership structure, firm size, and corporate-governance practices: Evidence from Indonesia

The purpose of this study is to investigate whether companies listed on the Jakarta Stock Exchange (JSE) conduct efficient or opportunistic earnings management and to examine the effect of ownership structure, firm size, and corporate-governance practices on it.Using multiple regressions, we find evidence that the type of earnings management selected by JSE listed firms tends toward efficient earnings management. This evidence is inconsistent with the common view that earnings management in Indonesia is opportunistic. Family ownership has a significant influence on the type of earnings management selected. Firms with a high proportion of family ownership and non-business groups are more inclined to choose efficient earnings management than other types of firms. We find inconsistent evidence with regard to the impact of institutional ownership, firm size, and corporate-governance practices on type of earnings management.     

The university as a social economy: Jane Smiley’sMoo

Jane Smiley's novel, Moo, is reviewed for the models of social economy portrayed therein. The models are those of the faculty, university governance, and the students, as well as the total social economy and valuation process to which the foregoing contribute. The basic story, portrayed in part through tales of the lives and foibles of individuals, is one of resource allocation, organization and control, distribution of gains and sacrifices, and the working out of the purposes, values, and objectives of an institution. Also covered is the tale of a faculty economist who lives his life along the lines of the self-interested rationality model.     

Assessing convergence to purchasing power parity: A panel study for ten OECD countries

Assessing Convergence to Purchasing Power Parity: A Panel Study for 10 OECD Countries. — The paper analyzes whether post-Bretton Woods real exchange rates of ten OECD countries are nonstationary so that long-run purchasing power parity (PPP) can be considered to hold. A test procedure is proposed which treats the various real exchange rates as a panel but still allows to assess the rate of convergence to PPP for each pair of currencies separately. It is shown that long-run (tradables-) PPP holds between all countries analyzed. Rates of convergence to PPP, however, are found to be quite different across countries. For most of the OECD countries convergence takes place faster than previously indicated.     

Modeling time-varying higher-order conditional moments: A survey

Since the introduction of the Autoregressive Conditional Heteroscedasticity (ARCH) model, the literature on modeling the time-varying second-order conditional moment has become increasingly popular in the last four decades. Its popularity is partly due to its success in capturing volatility in financial time series, which is useful for modeling and predicting risk for financial assets. A natural extension of this is to model time variation in higher-order conditional moments, such as the third and fourth moments, which are related to skewness and kurtosis (tail risk). This leads to an emerging literature on time-varying higher-order conditional moments in the last two decades. This paper outlines recent developments in modeling time-varying higher-order conditional moments in the economics and finance literature. Using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) framework as a foundation, this paper provides an overview of the two most common approaches for modeling time-varying higher-order conditional moments: autoregressive conditional density (ARCD) and autoregressive conditional moment (ARCM). The discussion covers both the theoretical and empirical aspects of the literature. This includes the identification of the associated skewness–kurtosis domain by using the solutions to the classical moment problems, the structural and statistical properties of the models used to model the higher-order conditional moments and the computational challenges in estimating these models. We also advocate the use of a maximum entropy density (MED) as an alternative method, which circumvents some of the issues prevalent in these common approaches.