Financial Analysis. Lesson 23. Financial Technology (FinTech) and Innovation in Finance

Financial Analysis. Lesson 23. Financial Technology (FinTech) and Innovation in Finance

1. Financial technology (FinTech) applies technology to improve financial services efficiency.

2. Digital banking enables financial transactions through online or mobile platforms.

3. Blockchain technology provides decentralized, secure transaction records in digital ledgers.

4. Cryptocurrencies are digital assets using cryptography for secure, decentralized transactions.

5. Peer-to-peer (P2P) lending connects borrowers and lenders directly via platforms.

6. Robo-advisors use algorithms to provide automated, low-cost investment advice.

7. Crowdfunding raises small amounts from many individuals for project funding.

8. Smart contracts are self-executing agreements coded on blockchain networks.

9. Digital wallets store digital assets or payment information securely on devices.

10. InsurTech innovates insurance services with technology for greater accessibility.

11. RegTech focuses on using technology to improve regulatory compliance processes.

12. Artificial intelligence (AI) powers data analysis and decision-making in finance.

13. Machine learning allows systems to learn and adapt based on data.

14. Big data analytics helps analyze massive data sets for actionable insights.

15. Biometric authentication uses unique biological traits to verify user identity.

16. Application programming interfaces (APIs) enable software communication in FinTech systems.

17. Open banking allows third-party providers to access financial data securely.

18. Cybersecurity protects financial systems from digital threats and data breaches.

19. Payment gateways facilitate secure online payment processing for businesses.

20. Quantum computing promises enhanced processing power for complex financial modeling.

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Technical Examples:

1. Robo-advisors help users make investment decisions based on algorithmic guidance.

2. Smart contracts automate agreement execution without traditional intermediaries.

3. Big data analytics uncovers trends within vast financial transaction data sets.