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Seasonality in time series data represents recurring patterns that follow a consistent interval, such as daily, weekly, monthly, or annually. It’s driven by factors like weather, holidays, or other cyclical influences specific to the data’s context. In sales data, for example, seasonality may reflect increased sales during holidays. Recognizing seasonality is critical for accurate forecasting, as it allows analysts to adjust for these predictable fluctuations. Option A (Trend) is incorrect because the trend represents the long-term progression, not repetitive patterns. Option B (Noise) is incorrect as noise refers to random, non-systematic fluctuations without pattern. Option C (Residuals) is incorrect because residuals are the irregular components left after accounting for trend and seasonality. Option E (Irregular Component) is incorrect because irregular components are unpredictable fluctuations without cyclical patterns.
What is correct about RTGS and NEFT:
i) RTGS is intended for big amount and NEFT is for smaller amount. RTGS can be done for amounts of minim...
In which of the following city is the first regional centre of the New Development Bank was officially opened ________?
Which of the following does not issue Global Depository Receipt?
Match the following:
A) IMPS P) Fund transfer
B) NDS (Negotiated Dealing system) Q) Transfer of govt benefits
C) UPI R) Virtual Pay...
Which of the following is known as the ability to convert an investment into cash quickly and with little or no loss in value?
When was the Banking Regulation Act passed?
Where are the headquarters of the Indian Bank?
The length of time over which an investment is made or held before it is liquidated is called ___________.
Any rupee note, which has a political slogan is not a legal tender as per.
It is the highest rated bond which gives maximum returns at the time of maturity?