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Tag: Financial Markets

  • Geopolitical risk is linked to lower stock returns in Vietnam

    Geopolitical risk is linked to lower stock returns in Vietnam

    What the study found

    The study found a statistically significant negative relationship between geopolitical risk, meaning uncertainty linked to international political events, and stock returns in Vietnam. It also found that firms more sensitive to geopolitical risk tend to have higher expected returns.

    Why the authors say this matters

    The authors suggest that geopolitical uncertainty can erode investor confidence and market performance. They conclude that the findings highlight the importance of including geopolitical risk measures in risk assessment and investment strategies.

    What the researchers tested

    The researchers analyzed monthly data for all listed companies in Vietnam from January 2010 to December 2023. They used a panel fixed effects model, which controls for unobserved differences across firms, and also ran pooled OLS robustness checks.

    What worked and what didn't

    The main model showed a significant negative link between geopolitical risk and stock returns. The results also supported the risk-return trade-off: firms with higher geopolitical risk exposure had higher expected returns. The pooled OLS checks were consistent with the main findings.

    What to keep in mind

    The abstract does not describe detailed limitations beyond the study's focus on Vietnam as an emerging market. The summary provided here is based only on the abstract, so any additional caveats are not available.

    • Geopolitical risk was negatively associated with stock returns in Vietnam.
    • Firms with higher geopolitical risk sensitivity had higher expected returns.
    • The study used monthly data from all listed Vietnamese companies from 2010 to 2023.
    • A panel fixed effects model was the main analysis method.
    • Pooled OLS robustness checks supported the main results.

  • U.S. rate cuts appreciated the dollar during the Great Recession

    What the study found

    The study found that, during the Great Recession, U.S. forward guidance monetary policy easings were associated with appreciation of the dollar rather than depreciation. The authors link this to calendar-based forward guidance that signaled economic weakness, a flight-to-safety effect, and lower expected U.S. inflation.

    Why the authors say this matters

    The authors suggest this matters because it shows that U.S. monetary policy can affect exchange rates through an information channel, not only through interest-rate differentials. They also conclude that the findings help explain why the dollar responded differently across currencies during a period of global contraction.

    What the researchers tested

    The researchers examined U.S. forward guidance monetary policy easings at business-cycle frequencies during the Great Recession. They also studied how surprise U.S. rate cuts affected the dollar against different currencies and built a model to reconcile the findings.

    What worked and what didn't

    The abstract reports that easing through forward guidance had the opposite of the conventional effect: the dollar appreciated instead of depreciating. A surprise U.S. rate cut produced a larger dollar appreciation against currencies that typically weaken more when the world economy is contracting. The authors say their model can reconcile these results.

    What to keep in mind

    The available summary does not provide detailed limitations. The findings are described for the Great Recession and for business-cycle frequencies, so the abstract does not state that they apply more broadly.

    • U.S. forward guidance easings during the Great Recession were associated with dollar appreciation.
    • The authors attribute the effect to calendar-based forward guidance signaling economic weakness.
    • The study links the exchange-rate response to a flight-to-safety effect and lower expected U.S. inflation.
    • A surprise U.S. rate cut had a larger dollar effect against currencies that usually weaken more in global contractions.
    • The authors built a model to reconcile the observed patterns.

  • RNN-based distortion models improved catastrophe bond pricing

    What the study found

    The study found that a jump-diffusion distortion model performed better than the canonical Wang transform and raw expected loss for catastrophe bond (CAT bond) pricing. It also found that a multifactor version using both actuarial and financial-market variables improved explanatory and predictive performance.

    Why the authors say this matters

    The authors conclude that combining distortion operators with neural estimation strengthens the methodological and empirical basis for CAT bond pricing in actuarial science. They also suggest the framework can support consistent pricing inference when a bond’s own spread is not observed.

    What the researchers tested

    The researchers developed a unified CAT bond pricing framework that combines distortion operator theory with recurrent neural network (RNN) estimation. They introduced a peer-adjusted distortion factor built from the Wang transform and a jump-diffusion distortion operator, calibrated it using the market-weighted spread of comparable CAT bonds and the target bond’s expected loss, and then tested a multifactor specification with actuarial and financial-market covariates.

    What worked and what didn't

    Empirically, the jump-diffusion distortion model outperformed both the Wang transform and raw expected loss in in-sample and out-of-sample tests. The abstract says it captured discontinuous repricing and tail-risk compensation more precisely, and that adding more factors further improved performance. The RNN was reported to achieve higher accuracy, stability, and computational efficiency than maximum likelihood estimation, generalized method of moments, or ensemble regressors.

    What to keep in mind

    The available summary does not describe detailed limitations or caveats. The findings are presented for CAT bond pricing, so the stated scope is specific to that setting.

    • A jump-diffusion distortion model outperformed the Wang transform and raw expected loss in CAT bond pricing tests.
    • A peer-adjusted distortion factor was calibrated using comparable bonds’ market-weighted spreads and the target bond’s expected loss.
    • The framework was designed to include investor sentiment, reinsurance capacity, and market liquidity in the distortion measure.
    • A multifactor specification with actuarial and financial-market covariates improved explanatory and predictive performance.
    • The recurrent neural network estimator was reported to be more accurate, stable, and computationally efficient than several conventional approaches.

  • Exchange rate depreciation raised sectoral credit allocation in Tanzania

    What the study found

    The study found that exchange rate depreciation was associated with a significant positive long-run effect on sectoral credit allocation across all five sectors studied: manufacturing, agriculture, tourism, construction, and transport and communication. In the short run, exchange rate movements had negative effects in some sectors, especially transport and communication.

    Why the authors say this matters

    The authors conclude that the findings offer sector-specific evidence on how exchange rate movements relate to investment decisions in Tanzania, an under-researched context. They suggest the results may help inform sector-specific monetary and exchange rate interventions to support investment in volatile macroeconomic environments.

    What the researchers tested

    The researchers examined how exchange rate movements, measured by the level and first difference of the exchange rate, influenced sectoral investment decisions in Tanzania. They used sectoral credit allocation as a proxy for investment and applied an Autoregressive Distributed Lag (ARDL) model to quarterly time-series data, while controlling for foreign direct investment, gross domestic product growth, and lending interest rates.

    What worked and what didn't

    Exchange rate depreciation showed a significant positive long-run association with credit allocation in all five sectors. Short-run exchange rate movements were negative in some sectors, with transport and communication highlighted as especially affected by sudden currency fluctuations.

    What to keep in mind

    The abstract does not describe specific limitations. The study uses sectoral credit allocation as a proxy for investment, so the results are framed in terms of credit rather than direct investment measures.

    • The study examined five sectors: manufacturing, agriculture, tourism, construction, and transport and communication.
    • Exchange rate depreciation had a significant positive long-run effect on sectoral credit allocation.
    • Short-run exchange rate movements had negative effects in some sectors, especially transport and communication.
    • The analysis used quarterly time-series data and an ARDL model.
    • Sectoral credit allocation was used as a proxy for investment.

  • Infinite-mean durations found in five cryptocurrency ETFs

    What the study found

    The study found evidence of infinite-mean durations, meaning the average time between trades may not be finite, in all five cryptocurrency exchange traded funds (ETFs) they examined. The authors also report rejecting the integrated autoregressive conditional duration (ACD) hypothesis for four of the five ETFs in favor of heavier-tailed alternatives.

    Why the authors say this matters

    The authors say their results address whether durations between trades have a finite or infinite expectation, which they describe as a key empirical question in duration models. They also note that a finite expectation is often assumed implicitly in the point process literature.

    What the researchers tested

    The paper develops a unified asymptotic theory for the quasi-maximum likelihood estimator in integrated ACD models, which are models for time between events. The authors then use the new theory to build hypothesis tests for whether durations have finite or infinite expectation, and apply the framework to high-frequency cryptocurrency ETF trading data.

    What worked and what didn't

    The new theoretical results support inference in integrated ACD models despite the complication that the number of durations in a fixed observation period is random. In the empirical application, the findings indicate infinite-mean durations for all five cryptocurrency ETFs, and the integrated ACD hypothesis is rejected for four of them in favor of heavier-tailed alternatives.

    What to keep in mind

    The abstract does not describe detailed limitations beyond the theoretical challenges the authors address. The empirical results are specific to the five cryptocurrency ETFs studied, so the abstract does not claim they apply more broadly.

    • The paper provides asymptotic theory for integrated ACD models.
    • It introduces tests for whether durations have finite or infinite expectation.
    • All five cryptocurrency ETFs studied showed evidence of infinite-mean durations.
    • The integrated ACD hypothesis was rejected for four of the five ETFs.
    • The authors report heavier-tailed alternatives fit better for four ETFs.

  • ESG controversies raise bank operating costs

    What the study found

    The study found that ESG controversies are linked to lower cost efficiency in banks because they increase non-interest expenses. The results also suggest that the size of this cost effect varies with institutional context and with a bank's prior ESG performance.

    Why the authors say this matters

    The authors conclude that ESG failures carry measurable financial consequences for banks. The study suggests that institutional quality, digital engagement, and baseline ESG performance shape how banks manage ESG-related reputational shocks.

    What the researchers tested

    The researchers analyzed data from the world's largest banks and used stochastic frontier analysis, a method for estimating how far actual costs are from a cost-efficient frontier. They examined how ESG controversies, institutional context, baseline ESG performance, and digital visibility measured by Google Search Volume relate to operating costs.

    What worked and what didn't

    ESG controversies were associated with significantly higher non-interest expenses and lower cost efficiency. Banks in the European Union or in countries with strong rule of law and regulatory quality experienced smaller cost increases after controversies, while banks in highly effective government structures faced stronger cost pressures. Higher baseline ESG performance improved cost efficiency and appeared to act as reputational insurance, and greater digital visibility was associated with marginally higher operating costs but helped ESG reputation recovery.

    What to keep in mind

    The abstract does not provide detailed limitations beyond the scope of the bank sample and the variables studied. The findings are based on the world's largest banks, so the summary does not state how far they apply outside that group.

    • ESG controversies were linked to lower cost efficiency in banks.
    • The main cost channel was higher non-interest expenses.
    • Institutional context changed the size of the cost increase after controversies.
    • Higher baseline ESG performance reduced the negative impact of controversies.
    • Greater digital visibility was tied to slightly higher operating costs but better reputation recovery.

  • Higher climate risk is linked to weaker EU banking stability

    What the study found

    The study found that higher climate change risk is associated with lower banking-system stability in the European Union. It also found that renewable energy consumption and energy-related taxes reduce this negative relationship.

    Why the authors say this matters

    The authors conclude that environmental governance mechanisms, including sustainable energy transitions and environmental tax policy, may strengthen the resilience of European banking systems. The study suggests these factors are relevant for climate-finance research and financial-stability assessment.

    What the researchers tested

    The researchers analyzed panel data from 27 EU countries covering 2012 to 2022. They used fixed-effects ordinary least squares, two-stage least squares, and robust generalized method of moments estimations to test the link between climate risk and banking stability, and to examine how renewable energy adoption and energy taxation moderate it.

    What worked and what didn't

    Across the different estimation approaches, higher climate risk consistently reduced banking-system stability. Renewable energy consumption and energy taxes both mitigated this effect, although the stabilizing influence of renewable energy showed diminishing returns at higher deployment levels and the moderating role of energy taxes was stronger in countries with higher fiscal stringency.

    What to keep in mind

    The abstract does not describe detailed limitations beyond the study’s EU focus and 2012–2022 sample period. The summary also does not provide specific effect sizes or country-level results.

    • Higher climate change risk was linked to lower banking-system stability in EU countries.
    • Renewable energy consumption softened the negative effect of climate risk.
    • Energy taxes also softened the negative effect of climate risk.
    • The renewable energy effect showed diminishing returns at higher deployment levels.
    • Energy-tax moderation was stronger where fiscal stringency was higher.

  • Asia accounts for a small share of debt-for-nature swaps

    What the study found

    The study finds that Asian economies have played a marginal role in debt-for-nature swaps, which are transactions that trade debt relief for environmental protection. The abstract says Asia accounts for 13% of global transactions, and identifies several countries as possible future candidates for this policy tool.

    Why the authors say this matters

    The authors conclude that fiscal policymakers, debt managers, and conservation organizations should take a more proactive and anticipatory approach to debt-for-nature swaps. The study suggests this is important for capturing emerging opportunities in a region facing growing debt and environmental pressures.

    What the researchers tested

    The researcher drew on a newly constructed database of global debt-for-nature swap transactions. The analysis used a logit econometric model, a statistical method for estimating the likelihood of an event, to examine historical patterns and current conditions across Asian economies.

    What worked and what didn't

    The paper reports that limited debt distress, relatively inexpensive debt burdens, and low levels of privately held debt help explain Asia's historical underrepresentation. It also identifies missed opportunities in the 1990s in Papua New Guinea, Thailand, and Turkmenistan, and says current conditions make Indonesia, the Lao People’s Democratic Republic, Maldives, Mongolia, and Thailand particularly well positioned for future activity.

    What to keep in mind

    The abstract does not describe the full dataset, model details, or any limitations beyond the scope of the summary. The findings are presented at the level of regional patterns and country selection, rather than as direct evidence that future transactions will occur.

    • Asian economies accounted for 13% of global debt-for-nature swap transactions.
    • The abstract says limited debt distress, lower debt burdens, and low privately held debt help explain Asia's underrepresentation.
    • Missed opportunities were identified in the 1990s for Papua New Guinea, Thailand, and Turkmenistan.
    • Indonesia, the Lao People’s Democratic Republic, Maldives, Mongolia, and Thailand are flagged as well positioned for future activity.
    • The authors call for a more proactive approach from policymakers, debt managers, and conservation organizations.

  • IPO listing changes how policy uncertainty affects R&D investment

    What the study found

    The study found that initial public offerings, or IPOs, change how economic policy uncertainty (EPU, uncertainty about government economic policy) relates to research and development (R&D) investment in private-sector firms in China. Under high EPU, IPOs directly push firms toward more active R&D investment, but they also indirectly discourage that behavior through the greater political connections the firms gain after listing.

    Why the authors say this matters

    The authors conclude that policymakers should avoid market intervention and prevent listed firms from developing strong political connections. The study suggests these factors matter because they shape how firms respond to policy uncertainty.

    What the researchers tested

    The researchers used data from both listed and never-listed firms in China. They examined the causal impact of listing on the relationship between EPU and R&D investment in private-sector firms.

    What worked and what didn't

    The results indicate that IPOs directly cause private-sector firms to adopt a more active attitude to R&D investment when EPU is high. At the same time, the results suggest that IPOs indirectly discourage R&D investment under high EPU because listed firms gain stronger political connections.

    What to keep in mind

    The summary does not provide details on sample size, specific measures, or statistical methods. It also does not describe any limitations beyond the scope implied by focusing on private-sector firms in China.

    • The study links IPO listing with changes in how firms respond to economic policy uncertainty.
    • Under high EPU, IPOs directly encourage more active R&D investment.
    • IPO listing also appears to indirectly discourage R&D investment through stronger political connections.
    • The analysis uses data from both listed and never-listed private-sector firms in China.
    • The authors suggest policymakers should avoid market intervention and strong political connections among listed firms.

  • Review maps links between geopolitical risk and ESG

    What the study found

    The review found that the literature on geopolitical risk and ESG (environmental, social, and governance) dynamics is growing and centers on five interdependent themes: ESG performance, green finance, renewable energy, climate change, and financial stability. The authors also report that geopolitical risk has a significant impact on ESG dynamics.

    Why the authors say this matters

    The authors conclude that the findings have theoretical, practical, and policy implications for investors, policymakers, corporate managers, and academicians. The study also suggests there are important research gaps and future research directions at the intersection of geopolitical risk and ESG dynamics.

    What the researchers tested

    The researchers conducted a systematic literature review using the PRISMA guideline, which is a structured method for identifying and screening studies. They retrieved 71 peer-reviewed articles published up to 2025 from the Scopus and Web of Science databases and organized the review into bibliometric analysis and thematic synthesis.

    What worked and what didn't

    The bibliometric analysis and thematic synthesis together identified five major themes in the existing literature. The review also found a growing academic interest in the multifaceted impacts of geopolitical risk on ESG dynamics. The abstract does not report which specific approaches or findings worked better than others in the primary studies.

    What to keep in mind

    This is a review of published studies, not a new empirical test of geopolitical risk and ESG outcomes. The abstract does not provide detailed limitations beyond the scope of the review, although it does indicate that the literature still has gaps.

    • The review covered 71 peer-reviewed articles published up to 2025.
    • Geopolitical risk was described as having a significant impact on ESG dynamics.
    • Five recurring themes were identified: ESG performance, green finance, renewable energy, climate change, and financial stability.
    • The review used PRISMA and combined bibliometric analysis with thematic synthesis.
    • The authors say the literature still has research gaps and future research avenues.