We study how changes in the structure of a brokers' transaction network affect the probability with which the returns and volume of the traded financial assets change significantly. We analyze how the dynamics of the brokers' transaction network are associated with the returns and volume observed in the Chilean stock market. To do this, we construct and validate an index that synthesizes the daily changes of the brokers' transaction network structure of equity market transactions. We find that the changes of this structure are significantly correlated with variables that describe the local and international economic-financial environments. In addition, changes in the brokers' transaction network structure are associated with a greater probability of positive shocks of more than two standard deviations in the stock exchange index return and total traded stock volume. These results suggest that the structure of the brokers' trading relations plays a role in determining the returns and volume of transactions in the Chilean stock market.

In the context of greater demand for corporate transparency, there is a growing pressure on boards to produce and communicate information to their investors and stakeholders. The current literature on integrated reporting shows that the provision of ESG information is a crucial factor that improves corporate governance by reducing agency problems. This issue is also critical in emerging economies, and particularly among Latin American firms. The concentration, opacity, and lack of evidence about ESG disclosure in less developed financial markets provide a promising environment to study the implications of board heterogeneity and ownership structure on strategic corporate decisions such as the disclosure of ESG indicators in developing economies. Using Tobit panel data models, we study how these factors affect the extent of ESG disclosure by Chilean listed firms. Our main results suggest that a board’s independence and gender diversity positively influence the extent of disclosure of ESG indicators. Our evidence helps firms concerned with strengthening their board’s features, investors that require screening firms’ ESG risk factors, and supports regulators’ decisions on setting norms regarding the extent of disclosure of ESG information by firms.

This paper studies the topology of the Chilean mutual fund industry using networks methods. With the physical positions of the local equity portfolios managed during 2003.01-2017.4, we analyze their connectivity structure in both the mutual funds’ bipartite network and their one-mode projection. We estimate network measures to examine the potential effects on the topology arising from changes in the industrial environment and changes in the mutual funds’ investment strategies in their overlapped portfolios. Our main results show that changes in the bipartite network and its one-mode projection are correlated with variables related to funds’ investment strategies and with industry-specific variables. In consequence, these elements are a new potential of disturbance in the financial network conformed by stocks and mutual funds. We contribute to the existing literature, improving the understanding of the aggregate behavior of a financial sector which despite its economic importance has attracted little attention from a systemic risk perspective.

This paper improves the understanding of heuristics in the choice of mutual funds. We analyze the effect of price‐quality relationship and anchors as heuristics on the evaluation of the willingness‐to‐invest. We perform two studies with graduate students who possess a medium–high level of financial literacy in Chile. In the first study, we find that willingness‐to‐invest increases (decreases) when subjects observe (do not observe) in the market a positive relationship between expense ratios (price) and service quality. In the second study, in the presence of an anchor, the reference price obtained by individuals from the market information loses relevance and the anchor effect predominates. Our results confirm that participants, as consumers of financial services, apply heuristics as groundwork for their investment decisions. These heuristics as a decision making process are useful but do not always lead to the choice of the lowest cost alternative with the highest possible service quality.

Purpose The purpose of this paper is to identify elements of intentional herd behavior (HB), differentiating it from spurious, or unintentional HB. Design/methodology/approach Using a panel of 50 stocks belonging to 18 Chilean equity mutual funds between December 2002 and October 2009, with manually collected data regarding physical positions of monthly purchases and sales, the authors calculate the level of HB and, by applying panel regressions with fixed and random effects, analyze the factors that determine this behavior, classifying them as agency, information, efficiency and behavioral problems. Findings The research establishes that among Chilean equity mutual funds, there is a herding of 2.8 percent, implying that for 100 funds trading a certain stock, 53 go in the same direction and 47 in another. This effect increases during widespread market dips and when stocks become fashionable, attracting market attention. This behavior is not merely spurious, associated with variables that predict returns, but also has an intentional component, related to agency problems and information, and a behavioral component, related to investors’ biases and beliefs. Originality/value The paper is original because, despite existing evidence of herding in international markets, it has been little quantified or studied in emerging markets. In addition, the literature does not distinguish between spurious and intentional HB, nor does it test different hypotheses jointly to explain the phenomenon.

Purpose The purpose of this paper is to provide evidence about the effects of the MILA agreement in terms of improving financial market efficiency. Design/methodology/approach The authors measure efficiency by studying the stock reaction to earnings announcements using a conditional heteroscedasticity generalized autoregressive conditional heteroscedasticity-adjusted market model and the most commonly implemented event study tests for 3,399 events across four countries in the Latin American Integrated Market (MILA). Findings Contrary to expectations, the results show that the MILA agreement has isolated gains in terms of reaction to corporate earnings announcements, which translates into partial improvements in market efficiency. However, the evidence indicates that the MILA agreement favored cointegration, which is in line with other studies. Practical implications This paper provides evidence for policymakers and regulators that a stock market agreement is a condition that promotes market cointegration, but it is not an element that in itself ensures an improvement in market efficiency. To achieve greater MILA benefits, regulatory and market-level changes are required. Originality/value This is the first study that analyses the effect of a stock market agreement on the efficiency of markets, expanding on what has been studied in the finance literature regarding the influence of these agreements on cointegration.

This investigation connects two crucial economic and financial fields, financial networks, and forecasting. From the financial network’s perspective, it is possible to enhance forecasting tools, since econometrics does not incorporate into standard economic models, second-order effects, nonlinearities, and systemic structural factors. Using daily returns from July 2001 to September 2019, we used minimum spanning tree and planar maximally filtered graph techniques to forecast the stock market realized volatility of 26 countries. We test the predictive power of our core models versus forecasting benchmarks models in and out of the sample. Our results show that the length of the minimum spanning tree is relevant to forecast volatility in European and Asian stock markets, improving forecasting models’ performance. As a new contribution, the evidence from this work establishes a road map to deepening the understanding of how financial networks can improve the quality of prediction of financial variables, being the latter, a crucial factor during financial shocks, where uncertainty and volatility skyrocket.

Firms are facing pressure to convincingly communicate to stakeholders their environment, society, and corporate governance (ESG) disclosure. In developing countries, where frictions among controlling and non-controlling shareholders are pervasive, the possible dissensus inside boards regarding ESG disclosure remains understudied. We investigate the ways in which boards’ heterogeneity between the interests of controlling groups and the interests of institutional investors influences ESG disclosure of firms in the Latin American context. Using social networks and logit panel data models, we analyze for 2015-17 the probability of ESG disclosure by 124 Chilean listed firms. Our evidence suggests that the influence of controlling shareholders through directorate interlocking has a negative relation with ESG disclosure. Additionally, we observe that the influence of institutional investors on ESG disclosure is not yet critical. Moreover, we find partial evidence of the presence of tension within the boards regarding ESG reporting between the directors that represent controlling shareholders and institutional investors. Considering the importance of institutional investors and the ubiquity directorate interlocking among Latin American’ firms, our results are relevant for regulators involved in advancing the rules of ESG disclosure practices, institutional investors focused on enhancing their ESG investment strategies, and firms engaged in improving the ESG decision-making within their boards.