Fintech习题练习
中间人佣金协议书1. A correct description of fintech is that it:八笔画的字
A: is driven by rapid growth in data and related technological advances.
B: increas the need for intermediaries.
C: is at its most advanced state using systems that follow specified rules and instructions. 2. A characteristic of Big Data is that:
A: one of its traditional sources is business process.
B: it involves formats with diver types of structures.
C: real-time communication of it is uncommon due to vast content.
3. In the u of machine learning (ML):
凡是都造句A: some techniques are termed “black box” due to data bias.
B: human judgment is not needed becau algorithms continuously learn from data.
C: training data can be learned too precily, resulting in inaccurate predictions when ud with different datats.
4: Text Analytics is appropriate for application to:
A: economic trend analysis.
B: large, structured datats.
C: public but not private information.
5. In providing investment rvices, robo-advirs are most likely to:
A: rely on their cost effectiveness to pursue active strategies.
B: offer fairly conrvative advice as easily accessible guidance.
辣酒煮花螺的做法C: be free from regulation when acting as fully-automated wealth managers.
6. Which of the following statements on fintech’s u of data as part of risk analysis is correct? A: Stress testing requires preci inputs and excludes qualitative data.不敢高攀
B: Machine learning ensures that traditional and alternative data are fully gregated.
C: For real-time risk monitoring, data may be aggregated for reporting and ud as model inputs.
7. A factor associated with the widespread adoption of algorithmic trading is incread:
A: market efficiency.
B: average trade sizes.
C: trading destinations.
8. A benefit of distributed ledger technology (DLT) favoring its u by the investment industry is its:
A: scalability of underlying systems.
B: ea of integration with existing systems.
C: streamlining of current post-trade process.
9. What is a distributed ledger technology (DLT) application suited for physical asts?
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A: Tokenization
B: Cryptocurrencies
C: Permissioned networks
Answers to CFA practice questions
1.A is correct. Drivers of fintech include extremely rapid growth in data (including their quantity, types, sources, and quality) and technological advances enabling the capture and extraction of information from it.
2.B is correct. Big Data is collected from many different sources and is in a variety of form
ats, including structured data (e.g., SQL tables or CSV files), mi-structured data (e.g., HTML code), and unstructured data (e.g., video messages).
3.C is correct. Overfitting occurs when the ML model learns the input and target datat too precily. In this ca, the model has been “over trained” on the data and is treating noi in the data as true parameters. An ML model that has been overfitted is not able to accurately predict outcomes using a different datat and may be too complex.
如何看翡翠原石4.A is correct. Through the Text Analytics application of natural language processing (NLP), models using NLP analysis may incorporate non-traditional information to evaluate what people are saying—via their preferences, opinions, likes, or dislikes—in the attempt to identify trends and short-term indicators about a company, a stock, or an economic event that might have a bearing on future performance.
5.B is correct. Rearch suggests that robo-advirs tend to offer fairly conrvative advice, providing a cost-effective and easily accessible form of financial guidance to underrved populations, such as the mass affluent and mass market gments.
6.C is correct. There is increasing interest in monitoring risk in real-time. To do so, relevant data must be taken by a firm, mapped to known risks, and identified while moving within the firm. Data may be aggregated for reporting purpos or ud as inputs to risk models.
7.C is correct. Global financial markets have undergone substantial change as markets have fragmented into multiple trading destinations consisting of electronic exchanges, alternative trading systems, and so-called dark pools. In such an environment, when markets are continuously reflecting real-time information and continuously changing conditions, algorithmic trading has been viewed as an important tool.
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8.C is correct. DLT has the potential to streamline the existing, often complex and labor intensive post-trade process in curities markets by providing clo to real-time trade verification, reconciliation, and ttlement, thereby reducing related complexity, time, and costs.
