How do I convert TR.TotalReturn fwd 4w from local currency to USD?

lib-periodicals1

I pull TR.TotalReturn 4w forward return numbers from the API but they are all in local/native currency. How would I convert this number to a USD number. For example when using the RICCode SBKJ.J, the 4w forward return From 2019-07-26 To 2019-08-23 is -6.6597, I've looked on Bloomberg and the equivalent in USD is -12.6257. How do I produce this number in Eikon Refinitiv, I've tried using USD closing price (TR.PriceClose) and ZAR closing prices on 2019-08-23 and 2019-07-26 but cannot produce the resulting number in USD

raksina.samasiri

Hi @lib-periodicals1 .

As mentioned in the case number 12827259 that

For data item TR.TotalReturn it is calculated based on the instrument currency only.
Currently, we do not have the functionality to change the currency in Excel or Python API.

Here's an alternative way to to convert timeseries of 1 week total return to USD currency, you need to retrieve the timeseries of exchange rate, merge the two timeseries and apply the exchange rate to the total return.

df1, err = ek.get_data("SBKJ.J",
                       ["TR.TotalReturn1Wk.date","TR.TotalReturn1Wk"],
                       {'SDate': '2019-07-26', 'EDate': '2019-08-23'})
df2, err = ek.get_data("ZAR=",
                       ["TR.BIDPRICE.date","TR.BIDPRICE"],
                       {'SDate': '2019-07-26', 'EDate': '2019-08-23'})
df = df1.merge(df2, how='left', on='Date')
df['Date'] = pd.to_datetime(df['Date'])
df.set_index('Date', inplace=True)
df.rename(columns={'Bid Price':'USDZAR Exch rate'}, inplace=True)
df.drop(['Instrument_x', 'Instrument_y'], axis=1, inplace=True)
df['1 Week Total ReturnUSD'] = df['1 Week Total Return'] / df['USDZAR Exch rate']
df

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