Source code for qf_lib.common.utils.returns.tail_events

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import numpy as np

from qf_lib.containers.series.qf_series import QFSeries


[docs]def tail_events(benchmark_tms: QFSeries, examined_tms: QFSeries, tail_percentile: float) -> [QFSeries, QFSeries]: """ Gets tail events of the benchmark and corresponding events in the examined timeseries. Both benchmark_tms and examined_tms must be of the same length. Moreover, events on each position in both series must be corresponding. Example: for the tail_percentile = 16 all the events of the benchmark with values to the left from one standard deviation will be returned (along with corresponding events from examined_tms). Parameters ---------- benchmark_tms: QFSeries timeseries corresponding to the benchmark examined_tms: QFSeries timeseries corresponding to the examined asset tail_percentile: float Percentile to compute. Must be a number from range [0,100] Returns ------- Tuple[QFSeries, QFSeries] (benchmark_tail_tms, examined_tail_tms) - tail events of the benchmark, events from the examined series corresponding to the benchmark's tail events """ assert benchmark_tms.index.equals(examined_tms.index) percentile = np.percentile(benchmark_tms, tail_percentile) indices_of_tail_events = benchmark_tms < percentile benchmark_tail_tms = benchmark_tms[indices_of_tail_events] examined_tail_tms = examined_tms[indices_of_tail_events] return benchmark_tail_tms, examined_tail_tms