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CFA Level 1 (pt2) questions well answered already passed
CFA Level 1 (pt2) questions well answered already passed
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Voorbeeld 3 van de 18 pagina's
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CFA Level 1 (pt2) questions wellanswered already passed
Which of the following is not a momentum oscillator?
MACD.
Stochastic oscillator.
Bollinger Bands. - correct answer ✔✔C is correct. Bollinger Bands are price-based indicators, not
momentum oscillators, which are constructed so that they oscillate between a high and a low or around
0 or 100.
Intermarket analysis focuses on the:
A.valuation drivers of intermarket asset price relationships.
B.bottom-up economic fundamentals of intermarket relationships.
C.identification of inflection points in intermarket relationships using relative strength indicators. -
correct answer ✔✔identification of inflection points in intermarket relationships using relative strength
indicators.
A technical analyst following a bottom-up investing approach focusing on momentum and breakout
strategies should favor long positions in stocks with:
shorter consolidation periods.
high Bollinger Band readings.
low volatility prior to an upside breakout. - correct answer ✔✔C is correct. Securities that break out from
low-volatility conditions are likely to experience high volatility, and high volatility in the direction of an
existing trend will usually help the trend pick up momentum. Breakouts from consolidation periods in an
uptrend or entering an uptrend are usually followed by a continuation of the existing trend.
Compared with the occurrence of fundamental developments related to a company, when do technical
analysts believe that related security price movements are most likely to arise?
After
Before
,Simultaneously - correct answer ✔✔technicians believe that security price movemenst occur before
fundamental developments of a compnay unfold and before they are reported to the public
A characteristic of Big Data is that:
one of its traditional sources is business processes.
it involves formats with diverse structures.
real-time communication of it is uncommon due to vast content. - correct answer ✔✔it involves formats
with diverse structures
In the use of ML:
some techniques are termed "black box" due to data biases.
human judgment is not needed because algorithms continuously learn from data.
training data can be learned too precisely, resulting in inaccurate predictions when used with different
datasets. - correct answer ✔✔training data can be learned too precisely, resulting in inaccurate
predictions when used with different datasets.
Text analytics is appropriate for application to:
economic trend analysis.
large, structured datasets.
public but not private information. - correct answer ✔✔economic trend analysis
A is correct. Through the text analytics application of NLP, models using NLP analysis might 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.
Which of the following statements on fintech's use of data as part of risk analysis is correct?
Stress testing requires precise inputs and excludes qualitative data.
ML ensures that traditional and alternative data are fully segregated.
For real-time risk monitoring, data can be aggregated for reporting and used as model inputs. - correct
answer ✔✔C is correct. Interest is increasing 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 could be
aggregated for reporting purposes or used as inputs to risk models.
A factor associated with the widespread adoption of algorithmic trading is increased:
market efficiency.
average trade sizes.
trading destinations. - correct answer ✔✔trading destinations.
global financial markets have undergone substantial change as markets have fragmented into multiple
trading destinations consisting of electronic exchanges, alt trading systems, dark pools
A benefit of DLT favoring its use by the investment industry is its:
scalability of underlying systems.
ease of integration with existing systems.
streamlining of current post-trade processes. - correct answer ✔✔streamlining of current post-trade
processes
C is correct. DLT has the potential to streamline the existing, often complex and labor-intensive post-
trade processes in securities markets by providing close to real-time trade verification, reconciliation,
and settlement, thereby reducing related complexity, time, and costs.
What is a DLT application suited for physical assets?
Tokenization
Cryptocurrencies
Permissioned networks - correct answer ✔✔tokenization
the process of representing ownershp rights to physical assets on a blockchain or distributed ledger
DTL has the potential to streamline this rights process by creating a single, digital record of ownership
with whcih to verify ownership title and authenticity
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