Finance research letters, Journal Year: 2023, Volume and Issue: 60, P. 104862 - 104862
Published: Dec. 16, 2023
Language: Английский
Finance research letters, Journal Year: 2023, Volume and Issue: 60, P. 104862 - 104862
Published: Dec. 16, 2023
Language: Английский
Finance research letters, Journal Year: 2023, Volume and Issue: 58, P. 104352 - 104352
Published: Aug. 23, 2023
Language: Английский
Citations
29Finance research letters, Journal Year: 2023, Volume and Issue: 59, P. 104823 - 104823
Published: Dec. 5, 2023
Language: Английский
Citations
17Research in International Business and Finance, Journal Year: 2024, Volume and Issue: 69, P. 102275 - 102275
Published: Feb. 10, 2024
Based on event study method, we observe that due to Silicon Valley Bank (SVB) collapse, US and European banks experience negative returns, while Chinese remain relatively less affected. Our results also show assets like oil, gold, cryptocurrencies exhibit positive suggesting investors may seek refuge in these perceived safe havens. Additionally, our findings the SVB's financial distress has a detrimental effect stocks of banking companies Europe, whereas it impact technology regions. highlight importance proactive risk management regulatory interventions, as demonstrated by regulator's approach. Moreover, be heed returns safe-haven during periods distress. Diversifying portfolios include can prudent strategy. Furthermore, regulators must consider stricter framework counteract contagion ensure system stability case future bank collapse such SVB debacle. While offers valuable insights into effects distress, acknowledge potential limitation which is robust capturing immediate market reactions, present challenge comprehensively assessing long-term implications.
Language: Английский
Citations
8International journal of modern achievement in science, engineering and technology., Journal Year: 2024, Volume and Issue: 1(3), P. 9 - 17
Published: Aug. 30, 2024
This research explores the substantial influence of Silicon Valley's technology environment on worldwide financial markets. It looks at how developments and venture capital improve market efficiency, boost economic growth, help to stabilize world institutions. The results highlight importance firms in not just providing vital financing but also strategically selecting growing entrepreneurs include into a larger network. increase productivity different industries is thanks groundbreaking advancements artificial intelligence microprocessor Valley. These progressions have improved operational effectiveness greatly encouraged emergence fresh Indoor air quality challenges emphasize need for innovation building design. (Ashayeri, M., Piri, S., & Abbasabadi, N, 2024). Dimensionality reduction multimodal deep learning enhances accuracy reduces computational costs, critical efficient AI applications. (M Bodaghi, M Hosseini, R Gottumukkala, 2024) Valley, prime example innovation, still showcases its significant impact shaping present environments as it continues prosper. Despite fact that total quantity money invested various countries throughout globe always growing, this case. accomplishments area may serve model other regions are interested promoting growth via deployment cutting-edge creative investment methods. places can learn from region's successes.
Language: Английский
Citations
6The North American Journal of Economics and Finance, Journal Year: 2023, Volume and Issue: 69, P. 102026 - 102026
Published: Oct. 26, 2023
Language: Английский
Citations
14Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123736 - 123736
Published: March 22, 2024
Language: Английский
Citations
4Published: Jan. 1, 2025
Language: Английский
Citations
0PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0317735 - e0317735
Published: Feb. 10, 2025
This paper investigates the diversification, hedging, and safe-haven capabilities of Bitcoin gold against blue economy green finance assets using three different MGARCH models (DCC, ADCC, GO-GARCH) during adverse events such as COVID-19 health crisis 2022 Russia-Ukraine conflict. Blue assets, which refer to sectors that sustainably utilize ocean resources, are a key focus alongside assets. The findings reveal crises, demonstrates robust characteristics, particularly like BJLE OCEN. Conversely, exhibits pronounced properties specific FAN. GO-GARCH model highlights gold’s strong diversification roles, especially BJLE. Bitcoin, on other hand, is more effective diversifier for PIO. Moreover, consistently outperforms DCC ADCC in terms hedging effectiveness, showing preferred instrument GNR TAN, while results underscore distinct roles portfolio management strategies, offering insights investors navigating market uncertainties context sustainable investments.
Language: Английский
Citations
0Scientific Annals of Economics and Business, Journal Year: 2025, Volume and Issue: 72(1), P. 125 - 144
Published: March 19, 2025
In this paper, we attempt to analyze and better apprehend the nature, structure dynamics of connections between bank stock indices different countries in G7 BRIC regions during outbreak tremendous events. For end, apply bi- multi-variate wavelet method on banking sector period 1/1/2016 4/28/2023. The empirical findings show that indices’ comovement US other markets tends change both short- long-term depend region/country. Such are highly affected by events (crisis/pandemic). particular, impact SVB collapse such seems be dissimilar among regions. could have insightful information for investors portfolio managers call stronger emphasis suitable regulatory environment.
Language: Английский
Citations
0Journal of Financial Economic Policy, Journal Year: 2024, Volume and Issue: 16(5), P. 656 - 689
Published: May 30, 2024
Purpose This paper aims to investigate the safe haven feature of Bitcoin, gold and two gold-backed cryptocurrencies (DGX PAXG) against energy agricultural commodities (crude oil, natural gas wheat) during COVID-19 pandemic, Russia–Ukraine conflict Silicon Valley Bank (SVB) collapse. Design/methodology/approach The authors use threshold GARCH (T-GARCH)-asymmetric dynamic conditional correlation (ADCC) model evaluate asymmetric between return series compare diversifying, hedging safe-haven ability financial swings in commodity market outbreak, Russian–Ukrainian military SVB also calculate ratios (HR) effectiveness index (HE). finally wavelet coherence (WC) approach check our results’ robustness further impact three crises on relationship commodities. Findings results show that PAXG serves as a strong instrument while gold, Bitcoin DGX act diversifiers normal times. During crises, outperforms diversifier Gold-backed exhibit performance havens. HR indicate are more cost-effective for risk mitigation than PAXG. In terms effectiveness, emerge best instruments commodities, is considered worst one. shows superior oil compared wheat risks. Moreover, WC confirm those T-GARCH-ADCC both short long run. Originality/value provides comprehensive analysis diversification different (the collapse). By taking into consideration cryptocurrencies, expand understanding havens beyond conventional assets.
Language: Английский
Citations
3