def daily_price_returns(prices):
return prices.pct_change().dropna(how="<STR_LIT:all>")<EOL>
Calculate the daily return DataFrame from the prices of the asset.

:param prices: adjusted closing prices of the asset, each row is a date
               and each column is a ticker/id.
:type prices: pd.DataFrame