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Article
Publication date: 21 June 2024

Trinh Nguyen-Vo

This research aims to offers a new method for assessing geoeconomic risks in bilateral relations and evaluate the level of such risks from Vietnam’s economic dependency on China.

Abstract

Purpose

This research aims to offers a new method for assessing geoeconomic risks in bilateral relations and evaluate the level of such risks from Vietnam’s economic dependency on China.

Design/methodology/approach

I apply descriptive analysis to identify asymmetrical dependency in Vietnam–China economic relations and propose a geoeconomic risk assessment framework to evaluate risk levels in bilateral economic linkages.

Findings

The proposed geoeconomic risk framework assesses risk levels, which are positively influenced by the degree of asymmetrical relations (vulnerabilities), the net impacts on the receiving economy (impacts) and the sending state’s ability to control economic tools (threats). In contrast, risk levels are negatively affected by the effectiveness of existing mitigation efforts. The framework employs ordinal likelihood scales to rank various risk levels. In the context of Vietnam–China relations, market access for agricultural products and control of the Mekong water emerge as the most risky areas for economic coercion, followed by Chinese official development finance in infrastructure and critical input imports. On the other hand, debt dependency and foreign direct investment in the energy sector are considered more secure areas—less likely targets for economic coercion. Hence, risk mitigation strategies should prioritize reducing asymmetry in vulnerable dependence areas while maintaining current practices in more secure areas.

Originality/value

Methodologically, it introduces a new approach for assessing bilateral geoeconomic risk. Empirically, it provides Vietnam’s policymakers with a comprehensive evaluation of the implications of economic interdependence with China.

Details

Fulbright Review of Economics and Policy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2635-0173

Keywords

Article
Publication date: 9 February 2024

Nhung Thi Nguyen, An Tuan Nguyen and Dinh Trung Nguyen

This paper aims to examine the effects of investor sentiment on the development of the real estate corporate bond market in Vietnam.

Abstract

Purpose

This paper aims to examine the effects of investor sentiment on the development of the real estate corporate bond market in Vietnam.

Design/methodology/approach

The research uses an autoregressive distributed lag (ARDL) model with quarterly data. Additionally, the study employs Google Trends search data (GVSI) related to topics such as “Real Estate” and “Corporate Bond” to construct a sentiment index.

Findings

The empirical outcomes reveal that real estate market sentiment improves the growth of the real estate corporate bond market, while stock market sentiment reduces it. Also, there is evidence of a long-run negative effect of corporate bond market sentiment on the total value of real estate bond issuance. Further empirical research evidences the short-term effect of sentiment and economic factors on corporate bond development in the real estate industry.

Research limitations/implications

Due to difficulties in collecting data, this paper has the limited sample of 54 valid quarterly observations. Moreover, the sentiment index based on Google search volume data only reflects the interest level of investors, not their attitudes.

Practical implications

These results yield important implications for policymakers in respect of strengthening the corporate bond market platform and maintaining stability in macroeconomic and monetary policies in order to promote efficient and sustainable market development.

Social implications

The study offers some suggestions for regulators and governments to improve the real estate corporate bond market.

Originality/value

This is the first quantitative study to examine the effect of sentiment factors on real estate corporate bond development in Vietnam.

Details

Review of Behavioral Finance, vol. 16 no. 4
Type: Research Article
ISSN: 1940-5979

Keywords

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