AI companies' strategies with traditional vs. digital assets amid geopolitical and banking crises.

Wael Dammak, Mohamed Fakhfekh, Hind Alnafisah, Ahmed Jeribi
Author Information
  1. Wael Dammak: Eslsca Business School-CERFIM, Paris, France.
  2. Mohamed Fakhfekh: Higher Institute of Business Administration of Sfax, Tunisia.
  3. Hind Alnafisah: Department of Economics, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia.
  4. Ahmed Jeribi: Faculty of Economics and Management of Mahdia, Tunisia.

Abstract

The financial industry evolves rapidly, offering numerous opportunities but also introducing inherent risks that require careful navigation by institutions. This paper explores the performance of traditional and digital assets as tools for hedging, diversification, and safe-haven strategies during the Russian-Ukrainian crisis and the Silicon Valley Bank (SVB) collapse. Utilizing daily data from April 30, 2021, to September 15, 2023, and employing the Asymmetric Dynamic Conditional Correlation (ADCC) model, which combines four Generalized Autoregressive Conditional Heteroskedasticity (GARCH) family models and two residual distributions, we conduct a comprehensive analysis. The results indicate that Bitcoin's role as a safe haven is limited during the geopolitical crisis, impacting specific stocks, while Gold's effectiveness varies. Digix Gold (DGX) demonstrates robust safe-haven properties, and Paxos Gold (PAXG) proves notably effective for certain stocks. Before the SVB crisis, Gold primarily acts as a diversifier but later emerges as a significant safe haven during the banking crisis. These findings provide valuable insights to portfolio managers, emphasizing the importance of adaptive asset allocation in addressing financial uncertainties.

Keywords

References

  1. Q Rev Econ Finance. 2021 Nov;82:71-85 [PMID: 34898971]
  2. Int Rev Financ Anal. 2020 Oct;71:101526 [PMID: 38620286]
  3. Technol Forecast Soc Change. 2021 Jan;162:120382 [PMID: 33100414]
  4. Int Rev Financ Anal. 2022 May;81:102121 [PMID: 36536769]
  5. Resour Policy. 2020 Dec;69:101816 [PMID: 36569824]
  6. Int Rev Financ Anal. 2021 Nov;78:101958 [PMID: 36532660]
  7. Technol Forecast Soc Change. 2020 Oct;159:120195 [PMID: 32834136]
  8. Financ Res Lett. 2022 Aug;48:102978 [PMID: 35601054]
  9. Int Rev Financ Anal. 2021 Mar;74:101666 [PMID: 36531084]
  10. Dev Econ. 2021 Jun;59(2):206-222 [PMID: 34230677]
  11. Res Int Bus Finance. 2021 Dec;58:101441 [PMID: 34518714]
  12. Res Int Bus Finance. 2021 Dec;58:101484 [PMID: 34518717]

Word Cloud

Created with Highcharts 10.0.0assetscrisishavenfinancialtraditionaldigitalsafe-havenstrategiesSVBConditionalsafegeopoliticalstocksGoldbankingindustryevolvesrapidlyofferingnumerousopportunitiesalsointroducinginherentrisksrequirecarefulnavigationinstitutionspaperexploresperformancetoolshedgingdiversificationRussian-UkrainianSiliconValleyBankcollapseUtilizingdailydataApril302021September152023employingAsymmetricDynamicCorrelationADCCmodelcombinesfourGeneralizedAutoregressiveHeteroskedasticityGARCHfamilymodelstworesidualdistributionsconductcomprehensiveanalysisresultsindicateBitcoin'srolelimitedimpactingspecificgold'seffectivenessvariesDigixDGXdemonstratesrobustpropertiesPaxosPAXGprovesnotablyeffectivecertaingoldprimarilyactsdiversifierlateremergessignificantfindingsprovidevaluableinsightsportfoliomanagersemphasizingimportanceadaptiveassetallocationaddressinguncertaintiesAIcompanies'vsamidcrisesCrisesDigitalHedgingIntelligenceartificialcompaniesSafeTraditional

Similar Articles

Cited By

No available data.