Bump and Reprice Cross-gamma ladder

Table of Contents

This page defines one report: Bump and Reprice Cross-gamma ladder. It answers how the value of a book bends when two factors move together, so a reader sees the risk that two separate first order hedges leave behind. The market risk function reads it when it signs off a hedge set, and the trading desk reads it when it decides how much of two related positions to keep. It runs at the close on the end of day cycle, and it leaves the engine's own output archive with sensitivity.csv and scenario.csv in it.

1. Purpose

It answers what the second order figure between two factors is. A first order figure states the value change for one bump of one factor. A second order figure states how that first order figure moves when a second factor moves. The decision it feeds is whether two first order hedges cover the book when the two markets move together, as rates of two currencies do. They do not cover it when the cross term is large, and this ladder is the page that says by how much.

Cross gammas arrive in the rows that name two factors. A row with one factor states a figure for that factor alone. A row with both Factor_1 and Factor_2 populated states the figure for the pair, and this page reads those rows. The engine writes them into sensitivity.csv at engine version 1.8.17.0. No crossgamma.csv is written at that version. The sensitivity configuration states a file name for cross gammas, and no writer reads it, so the paired rows in sensitivity.csv are the whole statement.

2. Audience

The market risk function reads the ladder to test a hedge set against the case where two markets move together. The trading desk reads it to decide how much of each of two related positions to keep.

Role What it takes from the report
market-risk Where a hedge set fails when two factors of one risk class move together.
trading-desk How much of each of two related positions the book can keep.

3. Frequency

Field Value
Cycle end of day
Frequency scheduled, end of day
Batch none
Owner market-risk

The cycle is end of day. A ladder is read as the risk statement of record and compared across days. A live ladder would be priced against a body that is not reproducible, so the same row on two runs would not be the same figure.

The family seeds no intraday variant of any ladder. A live ladder would need a definition whose cut selection is LIVE, a run settings row whose market data type is live, and the same sensitivity configuration. The store seeds none of the three for this ladder.

4. Inputs

  • Trades selected by scope. The scope is the book or the portfolio that the definition states, and the run prices the trades the gather step selects.
  • Market data for the valuation date. The risk_report_config row states the market data type. This ladder is end of day, so the type is eod and the valuation date is the weekday before the run date. Holiday calendars are not consulted.
  • The six configuration documents the definition binds, one for each configuration type. The types are conventions, curve_configuration, todays_market, pricing_engines, risk_report_config and engine_settings. A definition that omits one of the first five cannot run, because ORE reads all of them before it prices.
  • The sensitivity configuration document, sensitivity.xml, which states the shift, the pairs the engine writes and the ComputeGamma switch.

5. Outputs

The run produces the engine's own output archive. The archive holds sensitivity.csv with the paired rows and the Delta and Gamma columns, and scenario.csv with the scenario value behind each of them. The run records where the archive landed against the run instance.

The tables that would carry the rows a reader queries are designed on Report post-processing and are not built. So a reader opens the CSV files in the archive, and the columns in the next section are the columns of those files.

6. Measures

The values below are the ones the files carry. The definitions of the measures the catalogue names are on Risk reporting and are not repeated here.

Measure Meaning
Base NPV Present value of the trade in the run's base currency, before the shift.
Delta The value change for one bump of one factor. It is money per shift, and the shift size is already inside it.
Gamma The second order figure for one factor, written when ComputeGamma is on.
Cross gamma The second order figure for a pair, on a row that names both factors.
Scenario NPV The value of the trade under the shifted market, as scenario.csv states it.
Difference The scenario value less the base value, on the same row of scenario.csv.

7. Columns and sections

A reader places a cross gamma by the two factors the row names and by the two shift sizes. The bucket columns are the ones that break each factor key into the parts a desk thinks in.

Column File Role What it holds
TradeId sensitivity.csv key The trade the row belongs to.
IsPar sensitivity.csv qualifier Whether the row states a par rate figure.
Factor_1 sensitivity.csv qualifier, bucket The first factor key. Populated on a paired row.
ShiftSize_1 sensitivity.csv qualifier, bucket The shift applied to the first factor.
Factor_2 sensitivity.csv qualifier, bucket The second factor key. Populated on a paired row.
ShiftSize_2 sensitivity.csv qualifier, bucket The shift applied to the second factor.
Currency sensitivity.csv qualifier, bucket The currency of the figures on the row.
Base NPV sensitivity.csv measure The value before the shift.
Delta sensitivity.csv measure The first order figure for the row.
Gamma sensitivity.csv measure The second order figure for the row.
Currency(Trade) sensitivity.csv qualifier The currency of the trade.
Base NPV(Trade) sensitivity.csv measure The value before the shift, in the trade currency.
Delta(Trade) sensitivity.csv measure The first order figure, in the trade currency.
Gamma(Trade) sensitivity.csv measure The second order figure, in the trade currency.
Scenario sensitivity.csv qualifier The scenario the row belongs to.
TradeId scenario.csv key The trade the row belongs to.
Factor scenario.csv key, bucket The factor that was shifted.
Up/Down scenario.csv qualifier, bucket Which side of the shift the row states.
Base NPV scenario.csv measure The value before the shift.
ShiftSize_1 scenario.csv qualifier, bucket The shift applied to the first factor.
ShiftSize_2 scenario.csv qualifier, bucket The shift applied to the second factor.
Scenario NPV scenario.csv measure The value under the shifted market.
Difference scenario.csv measure The scenario value less the base value.
Base Currency scenario.csv qualifier The currency the figures are expressed in.

The bucket columns of this page are the two factor keys. A rate factor key names the kind of curve and the curve. The shipped file writes them as DiscountCurve/EUR and IndexCurve/EUR-EURIBOR-6M, and the filter pairs are substrings of keys of that form. A reader groups the rows by the two curve names in the pair, and reads Gamma in each group.

8. ORE configuration

A definition of this report binds the sensitivity analytic. The analytic names the sensitivity configuration document, and that document is the one whose root is SensitivityAnalysis. ORE validates it against external/ore/xsd/sensitivity.xsd. The analytic element in the run document states the parameters below.

<Analytic type="sensitivity">
  <Parameter name="active">Y</Parameter>
  <Parameter name="marketConfigFile">simulation.xml</Parameter>
  <Parameter name="sensitivityConfigFile">sensitivity.xml</Parameter>
  <Parameter name="recalibrateModels">Y</Parameter>
  <Parameter name="parSensitivity">Y</Parameter>
  <Parameter name="outputSensitivityThreshold">0.000001</Parameter>
</Analytic>

The SensitivityAnalysis document carries one block for each group of risk factors. The groups are the discount curves, the index curves, the yield curves, the FX spots, the FX volatilities, the swaption volatilities, the cap and floor volatilities, the CDS volatilities, the default and credit curves, the equity spots and volatilities, the two inflation curve families, the two inflation cap and floor families, the dividend yields, the base correlations, the security spreads, the commodity curves and volatilities, the intraday power curves, the correlations and the bond future volatilities. It also carries four switches that are not factors, and this page uses two of them, ComputeGamma and CrossGammaFilter.

Every factor block states four things. ShiftType is Relative, Absolute or EqualTo. ShiftSize is a real, with an optional key for an alternative size. ShiftScheme is Forward, Backward or Central. The bucket list is one of ShiftTenors, ShiftExpiries, ShiftStrikes, ShiftLossLevels or ShiftTerms. ShiftType and ShiftScheme are enums in external/ore/xsd/ore_types.xsd.

The fragment below is the EUR discount curve block of the shipped external/ore/examples/MarketRisk/Input/sensitivity.xml, trimmed to the four statements every factor block carries.

<DiscountCurves>
  <DiscountCurve ccy="EUR">
    <ShiftType>Absolute</ShiftType>
    <ShiftSize>0.0001</ShiftSize>
    <ShiftSize key="IR_FD">0.001</ShiftSize>
    <ShiftScheme>Forward</ShiftScheme>
    <ShiftScheme key="IR_FD">Central</ShiftScheme>
    <ShiftTenors>2W,1M,3M,6M,9M,1Y,2Y,3Y,4Y,5Y,7Y,10Y,15Y,20Y,25Y,30Y</ShiftTenors>
  </DiscountCurve>
</DiscountCurves>

The block shifts each tenor of the curve by one basis point absolute, on the forward scheme, with an override of 0.001 on the central scheme under the key IR_FD. The bucket list is the tenor list. The same file states the pairs that the filter keeps, and they are the pairs this ladder reads.

<CrossGammaFilter>
  <Pair>DiscountCurve/EUR,DiscountCurve/EUR</Pair>
  <Pair>IndexCurve/EUR,IndexCurve/EUR</Pair>
  <Pair>DiscountCurve/EUR,IndexCurve/EUR</Pair>
</CrossGammaFilter>

A pair is a list of two substrings of factor keys. The first pair keeps the cross term of a discount curve against the same discount curve, the second keeps an index curve against itself, and the third joins a discount curve to an index curve. ComputeGamma is on in a configuration that produces this ladder, and the two switches together decide which rows the engine writes.

The engine writes sensitivity.csv with the columns TradeId, IsPar, Factor_1, ShiftSize_1, Factor_2, ShiftSize_2, Currency, Base NPV, Delta, Gamma, Currency(Trade), Base NPV(Trade), Delta(Trade), Gamma(Trade) and Scenario. It writes scenario.csv with the columns TradeId, Factor, Up/Down, Base NPV, ShiftSize_1, ShiftSize_2, Scenario NPV, Difference and Base Currency. At engine version 1.8.17.0 no writer reads sensitivity.crossGammaOutputFile, so no crossgamma.csv appears in the archive. The evidence behind a paired row is scenario.csv. The scenario rows hold the base value, the shifted value and the difference for the factor the row names, so a reader can rebuild the figure from them.

The bump is a setting of the configuration and not the identity of the report. Two reports over one book that differ only in shift size differ only in the document they bind. A 0.1 vol point bump means ShiftSize 0.1 on a surface stored in vol points, or Absolute 0.001 on a surface stored in decimals. The store seeds neither, and the store states no shift size at all today.

9. Parameters

A definition of this report states the rows below. Where the store states no value, the column says so. A parameter is declared with its domain on ore parameter, and a configuration binds it on configuration parameter.

Parameter Domain Seeded value Meaning
cut_kind_code a kind of cut EOD The kind of cut the run mints when it starts.
scope book or portfolio none stated The trade set the run reads.
market_data_type live, eod or date eod The market data the run reads, and so the valuation date.
sensitivity.sensitivityConfigFile a file in the file library sensitivity.xml The document that states the shifts and the pairs.
sensitivity.recalibrateModels Y or N Y Whether models are recalibrated before the bump.
sensitivity.parSensitivity Y or N Y Whether the figures are also written as par rate values.
sensitivity.outputSensitivityThreshold a real 0.000001 The size below which a figure is not written.
DiscountCurves.ShiftType Relative, Absolute, EqualTo Absolute How the shift size is read against the curve.
DiscountCurves.ShiftSize a real none stated The size of the bump.
DiscountCurves.ShiftScheme Forward, Backward, Central Forward Which side of the factor the bump is measured from.
DiscountCurves.ShiftTenors a list of periods sixteen tenors from 2W to 30Y The tenors the bump lands on.
ComputeGamma a switch none stated Whether the engine writes the second order column.
CrossGammaFilter a list of pairs none stated Which pairs of factors the engine writes a cross term for.

10. A worked read

  1. Open sensitivity.csv from the run's output archive. Open scenario.csv beside it, because it holds the values behind the columns.
  2. Keep the rows where Factor_1 and Factor_2 are both populated. A row with one factor is a first order figure and belongs to another ladder.
  3. Read the two factor keys. This page reads the pairs of one risk class, as the filter states them.
  4. Check the pair against the filter in the configuration. A pair the filter does not name does not appear in the file.
  5. Read the tenor from the last part of each key, and group the rows by the two curve names and by that tenor.
  6. Read the Gamma column in each group. That figure is the cross gamma. It says how the first order figure of the second factor moves when the first factor is bumped.
  7. Check ShiftSize_1 and ShiftSize_2. A cross term is a figure for one pair of shifts, and it is not comparable with a figure taken at another pair.
  8. For one row you doubt, open scenario.csv on the same TradeId. Read Base NPV, Scenario NPV and Difference for the factor the row names. The difference is the value change for the shift that row states, and it is the evidence behind the paired row.
  9. Compare two days only when the two runs bound the same sensitivity configuration. A change of shift size, or a change of pair in the filter, changes the rows the file carries.

11. What is not built

  • No mapper reads or writes a SensitivityAnalysis document. The document is a name in a lookup and a row in the file library, not a modelled entity.
  • The run package carries only the four Setup documents, conventions, curve configuration, today's market and pricing engines. An analytic document that no owner exports never reaches the engine.
  • No volatility market data is seeded. The ACME dataset holds 420 seeded quotes and all of them are IR_SWAP/RATE/.... so a volatility factor has nothing to shift, and no volatility sensitivity can be computed until the store holds that data. The rate pairs of this ladder need no volatility, but the run that would write them does not reach the engine either.
  • No shift size is stated anywhere in the store, so the document that would set this ladder has no stored value to read.
  • No stored shape holds a pair of factors as a key. The paired row exists in the CSV file and in no table.
  • No crossgamma.csv is written at engine version 1.8.17.0. A reader who looks for that file finds nothing, and the paired rows in sensitivity.csv are the statement.
  • The result store is not built, so a reader opens the CSV files and no table answers a query over them.

12. Test coverage

The report has no smoke test of its own. The smoke test that proves the machinery without gathering anything is Sample bundle smoke test.

A test run of this ladder executes the whole pipeline from the gather step and records the run. It stops before the engine prices, for the two reasons above. The run package carries no analytic document, and the dataset seeds no volatility market data. So the report is exercised by the full-pipeline proof and not by a run that writes rows.

13. Related

14. See also

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