Balanced portfolio via signed graphs and spectral clustering in the Brazilian stock market

Quality & Quantity - A portfolio associated with a balanced signed graph that contains both positive and negative edges is more predictable and risk-averse, and is therefore likely to require...     

Analyst earnings forecast precision and local advantage: evidence from American depositary receipt firms

Prior research has documented a finding that local analysts provide more accurate earnings forecasts than nonlocal analysts in many settings. However, little is known about local and nonlocal analysts’ relative earnings forecast abilities for ADR stocks. In this study, we find that the local advantage disappears for ADR stocks and that nonlocal analysts in fact outperform local ones in this case. We investigate the source of this ‘local disadvantage’ and find evidence against hypotheses based on accounting standards and exchange rates. We document that the local advantage decreases with increased investor interest in foreign firms, consistent with our nonlocal investors’ interest hypothesis.     

Short-Run and Long-Run Effects of Copper Mining on Peru’s Recent Economic Growth

Peru is the second-largest producer and exporter of copper in the world. This paper proposes a novel approach to assess short-run and long-run effects of copper on Peru’s recent economic growth. Annual data over the 2014–2018 period were used to calculate a Mining Contribution Index (MCI). An institutional quality indicator of the World Competitiveness Index of the World Economic Forum measured the dependence of Peruvian economic growth on mining and the quality of its institutions, respectively. Then, monthly data during the period 2005–2018 were used to run vector autoregressive (VAR) and vector error correction (VEC) models to measure copper’s effects on the country’s economy over time. VAR-VEC models included copper production, exports, international price, investment, taxes paid by producing companies, and Peru’s gross domestic product (GDP). Stationarity and causality of variables were verified with the Augmented Dickey-Fuller and Granger tests, respectively. Due to the presence of non-stationary variables, a VEC model was implemented to forecast short- and long-run effects. The main results show that real GDP responds to copper output and other related explanatory variables differently, depending upon the instrument applied. Peruvian GDP has increased dependence on copper mining. The quality of its institutions could explain the presence of Dutch Disease or resource curse theory. Short- and long-run effects of copper output on GDP were generally statistically non-significant. GDP was statistically significant in relation to other mining variables, such as copper exports and the international price of copper.

     

The Role of Informational and Congruence Clues in Advertisement for an Ethnic Restaurant

This study analyzes the effect of informational clues and Chef-Cuisine congruence, and their relation to advertisements for a Japanese restaurant. Two experiments were conducted with 171 consumers. Findings supported the following: Congruence between a Japanese restaurant and Japanese Chef results in higher approval ratings than the combination of Japanese restaurant with Brazilian Chef. However, if the advertisement states that the restaurant has won an award, then Chef-restaurant congruence is no longer an important factor in consumers’ evaluations.     

Performance Measures in Dose-Finding Experiments

In the first phase of pharmaceutical development, and assuming that the probability of positive response increases with dose, the main statistical goal is to estimate a percentile of the dose–response function for a given target value $\mathrm{\Gamma }$. We compare the Maximum Likelihood and centred isotonic regression estimators of the target dose and we discuss several performance criteria to assess inferential precision, the amount of toxicity exposure and the trade-off between them for a set of some exemplary adaptive designs. We compare these designs using graphical tools. Several scenarios are considered using simulation, including the use of several start-up rules, the change of slope of the dose-toxicity function at the target dose and also different theoretical models, as logistic, normal or skew-normal distribution functions.     

Using reputation for corporate sustainability to tackle banks digitalization challenges

The new landscape in the financial sector, characterized by fierce competition and the entrance of new technological players, has forced banks to speed up their digital transformation. However, for banks, digitalization entails challenges that can hinder the potential benefits and compromise their survival. In this context, we argue that the reputation generated by corporate sustainability (RCS) may offset these digitalization drawbacks. In particular, we find that the combination of RCS and digitalization facilitates in transforming the organizational nature of banks by simultaneously narrowing their boundaries and expanding their scope. We empirically confirm our hypotheses by analyzing a panel of 110 multinational banks from developed countries.     

Do economic integration agreements affect trade predictability? A group effect analysis

Recent theoretical findings in the trade literature suggest that economic integration agreements (EIAs) not only increase the level of trade but also make it more stable and predictable. This paper proposes a Hausman–Taylor quantile regression approach to identify the causal effect of EIA membership on trade predictability. The proposed methodology accounts for group effects in the gravity equation and is computationally efficient. Our results corroborate the theoretical findings that EIAs make trade more stable and predictable and this conclusion is even stronger for deeper EIAs.     

Dynamic managerial capabilities: Scale development and validation

Studies on dynamic managerial capabilities still have a rather theoretical nature, and there is great difficulty in finding a valid, reliable instrument to measure this construct. The present study contributes to solving this problem: It aims to develop and validate a scale to measure dynamic managerial capabilities. In this investigation, we develop a scale for three factors related to dynamic managerial capabilities: human capital, managerial cognition (already described in the literature), and relationship networks. The prominent finding in this research is the factor that is referred to here as relationship networks.     

Supply chain risk analysis: a shipbuilding industry case

A lack of empirical studies on Supply Chain Risk Management (SCRM) is observed, especially in the industries of large projects. Therefore, this paper conducts a risk analysis on the Brazilian Shipbuilding Industry by generating an initial risk profile. A panel was conducted with executives from major shipyards, and the primary risks were identified, assessed, and evaluated. Findings corroborate the academic literature, reinforcing that companies recognise the importance of SCRM, but the concept is incipient and far from being successfully implemented in real life. Despite the fact that the shipyards identified important risks, the focus was on internal factors. Because the industry was exposed to risks from the external environment, no risk mitigation actions existed, resulting in the bankruptcy of many shipbuilders. This research is an initial step toward investigating SCRM techniques, offering academics a novel empirical approach that can serve as a systematic risk management tool for supply chain planning.     

Sin sectors and negative screening

In this research, I analyse how exposure to sin sectors impacts the financial performance of socially responsible (SR) funds. I also analyse the question of whether or not these funds keep their word and are less exposed to the controversial sectors that they claim to exclude in their prospectuses. Additionally, I analyse how local political and religious factors exert an influence on the exposure of SR funds to sin sectors. Consequently, I analyse a sample comprising 136 SR mutual funds that were domiciled in the U.S. market in the period March 2017–April 2020 and who invest in domestic and global equity, of which 92 implement negative screens on at least 1 of 12 controversial activities. My results show that for seven (three) of the controversial sectors that were analysed, the exposure of SR funds to these sectors jeopardises (improves) their financial performance. Furthermore, SR mutual funds who perform negative screens tend to live up to their name and are less exposed to the sector/s that they claim to exclude. In addition, SR mutual funds managed by companies located in Democrat-leaning states are less exposed to sin sectors, and that the effect of local religiosity depends on the specific sector analysed.