Emerging Asia Equity Home Bias and Financial Integration

Rogelio V. Mercado Jr. 한국국제경제학회 2013 International Economic Journal Vol.27 No.4

Equity home bias remains a phenomenon and a puzzle. Recent studies show the importance of financial integration in explaining the observed decline of equity home bias in advanced economies. This paper takes a step in understanding this relationship in the context of Emerging Asia. Stock market ratios and the mean-variance approach are used to construct measures of equity home bias; while foreign direct investments and time-varying global betas are used to derive measures of financial integration. These measures provide evidence that equity home bias has declined in recent years and progress has been made toward greater financial integration in the region. Fixed-effects panel regression was used to determine whether the factors that contribute to the decline of the bias in advanced economies – including financial integration – are relevant for Emerging Asia. Results show that a higher initial level of equity home bias and a greater financial integration lower the bias; while a larger stock market raises it. These findings concur with those for advanced economies. As in advanced economies, better quality of institutions and larger bank assets generally lower equity home bias, although insignificantly. However, unlike in advanced economies, country-specific risks are important in explaining the decline of the bias in Emerging Asia.

What Drives Different Types of Capital Flows and their Volatilities in Developing Asia?

Rogelio V. Mercado Jr.,Cyn-Young Park 한국국제경제학회 2011 International Economic Journal Vol.25 No.4

Understanding the determinants of capital inflows is essential to designing an effective policy framework to manage volatile capital flows and their disruptive potential. This paper aims to identify factors that explain the size and volatility of various types of capital flows to developing Asia, vis-à-vis other emerging market economies. The estimates for a panel dataset show that per capita income growth, trade openness, and change in stock market capitalization are important determinants of capital inflows to developing Asia. Trade openness increases the volatility of all types of capital inflows; while change in stock market capitalization, global liquidity growth and institutional quality lowers the volatility. A regional factor plays an important role in determining the size and volatility of capital inflows in emerging Europe and emerging Latin America, suggesting that regional economic cooperation and policy coordination may be an important element in designing a policy framework to manage capital inflows.

Fear and Loathing or Strategic Priming? Unveiling the Audience in Duterte's Crime Rhetoric

Panao Rogelio Alicor L.,Pernia Ronald A. 동아시아연구원 2022 Journal of East Asian Studies Vol.22 No.1

This paper examines speechmaking on a contentious policy by arguably one of the most controversial figures to have assumed the Philippine presidency. Drawing on quantitative textual approaches on a corpus of 845 presidential speeches delivered between June 2016 and July 2020, we provide evidence that Rodrigo Duterte's evocative utterances against drug lords and criminals are not just deliberate illocutionary acts intended to court public support, but also priming tactics aimed towards a politically and economically significant audience whose acquiescence gives symbolic legitimacy to a controversial anti-crime policy. Using quantitative textual approaches and econometric analysis, we find that violent-crime rhetoric is more likely to accompany public pronouncements made before a political audience consisting of law enforcement authorities and government officials, as well as an economic audience made up of business chambers, overseas Filipino workers, and labor groups. Overall, the findings nuance an image of Duterte beyond that of a penal populist.

Two-State GMS-based Friction Model for Precise Control Applications

Fernando Villegas,Rogelio Lorenzo Hecker,Miguel Peña 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.5

The capability of a model to represent the complex friction behavior is particularly important for systems where friction has a major impact on motion precision. In this work a GMS-based model is proposed which would require only two states, aiming to simplify the implementation of control laws that require friction models capable of representing presliding friction. Simulations of the proposed model are provided, showing that it keeps the main properties of the GMS model, like hysteresis with nonlocal memory, non-drifting behavior and friction lag. Also, an experimental comparison of the performance of model-based compensation for the proposed twostate model and for the complete GMS model is presented for a linear motor system with linear guides, showing promising results.

Adoption Determinants of a Learning Management System in a Higher Education Institution : A Faculty Perspective

Hector John T. Manaligod,Rogelio V. del Cano,Jelica R. Enriquez ASCONS 2019 IJASC Vol.1 No.1

Background/Objectives: The study sought to investigate technology adoption and use of learning management system (LMS) in a university. The study included antecedents of behavioral intention (BI) namely: performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC) and its relationship with actual use LMS. Methods/Statistical analysis: The research used self-administered on-line survey method and actual use based on data registers from LMS. Random samples were drawn from the faculty population who are using LMS. A multivariate statistical analysis and factor analysis were applied to find structural relationship among the variables and latent constructs (structural equation modeling). The instrument registered high internal consistency and validity. Findings: The results revealed that PE, EE, SI significantly explained the variation in BI. The BI and FC are not significantly related to LMS actual usage. Overall, there is a strong positive inter-correlation among the BI,PE, EE, and SI. Moderating effects were found in age and experience in the relationship between FI and actual usage; between EE and BI. Improvements/Applications: Data suggested a strong faculty behavioral intention to use LMS, but this did not translate into a substantial level of actual usage.

Probe Recording in Magnetic Patterned Media

( Leon Abelmann ),( Martin Siekman ),( Rogelio Murillo ),( J. P. J. Groenland ) 정보저장시스템학회 2007 정보저장시스템학회논문집 Vol.3 No.2

Ovarian Stromal Hyperplasia: A Rare Cause of Postmenopausal Hyperandrogenism

Teresa Lozoya Araque,Isauro Rogelio Monfort Ortiz,José Enrique Martín González,Alenda Jiménez García,Inmaculada Navarro Hidalgo,Verónica Andrade Gamarra,Cecilia Parrell Soler,Fernando Gil Raga 대한폐경학회 2020 대한폐경학회지 Vol.26 No.1

Ovarian hyperthecosis and ovarian stromal hyperplasia (OSH) are two uncommon non-neoplastic causes of ovarian hyperandrogenism, whose etiology is still unknown. These conditions are characterized by obesity, hyperinsulinemia, acanthosis nigricans, and even virilization, mainly in postmenopausal women. Here we have reported the case of a 67-year-old patient with a diagnosis of OSH, which was resolved after bilateral laparoscopic oophorectomy. In this case report, we have discussed two different conditions posing a diagnostic challenge and requiring a high index of suspicion.

Farmer's Knowledge of Land and Classes of Corn of Michoacan, Mexico

Maria Alcala De Jesus,Rogelio Garcia Rangel,Juan Carlos Gonzalez Cortes 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Exploring the Relationship of Sectioning in Student Performance in a Major Subject of Bachelor of Science in Information Systems

Hector John T. Manaligod,Rogelio V. del Cano,Jelica R. Enriquez ASCONS 2019 INTERNATIONAL JOURNAL OF EMERGING MULTIDISCIPLINAR Vol.3 No.1

This study examined the relationship of university students’ course performance in the regular block and irregular sections taking advanced programming course and the mediating effect of motivation. The respondents of the study were information systems students who were enrolled in major subjects. The independent variable was the student’s course performance. The dependent variable was the section classification (i.e., regular block or irregular section). Motivation was included in the model to test whether it influences the variance found students’ performance as to their sections. Logistic regression was used as statistical test for course performance and sectioning. Omnibus Test of Model Coefficient and Cox & Snelll and Nagelkerke statistics were used for the coefficient of determination. The study concludes that sectioning significantly relates to academic performance and grade have a modest explanatory power to sectioning. Motivation did not influence the students’ grades. Certain factors of motivation such as intrinsic, self-efficacy for learning and test anxiety suggest a significant relationship with grade not necessarily based on the effect of sectioning.

Cluster Analysis of Learning Management System (LMS) Performance : A Diagnostic Assessment

Dr. Hector John T. Manaligod,Rogelio V. del Cano,Jelica Enriquez ASCONS 2022 IJASC Vol.4 No.3

Background/Objective. The COVID-19 has accelerated the conduct of online classes around the world. To administer distant learning, schools are now relying on learning management systems. With the problems of the abrupt shift to an online modality, there must be measures in place to cluster students’ characteristics in order to assist their learning requirements, struggles, and academic performances. Methods/Statistical Analysis. Based on Delone and McLean’s IS Success model, this study used quantitative approaches and exploratory techniques to explain the higher education learners’ clusters. From March to April 2021, 303 samples were randomly selected from students participating in online programs at a higher education school on Taft Avenue in Manila. Sex, school, frequency of use, time duration, and experience with the LMS were all factors in the study. Both Hierarchical Cluster Analysis and K-Means Cluster Analysis were used to classify the samples. Findings. The results revealed that there are four clusters formed which are labeled as: service-oriented, system quality-oriented, holistic-oriented, and LMS-averse. Based on the results, information quality has the greatest influence. Since the clustering analysis is non-inferential and it is used as an exploratory technique, the researchers do not guarantee a unique solution as this depends on the elements of the subjects and the variables used. Improvements/Applications. The academic stakeholders can use the cluster analysis to make the appropriate interventions to improve the online course content and enhance the students’ academic performance. Some of these appropriate interventions include creating course policies, planning the necessary training of teachers and students, and developing the online delivery of the lessons.