#*************************************************************
# Copyright (c) 2015 by ZHAW.
# Please see accompanying distribution file for license.
#*************************************************************
## ---------------------------------------------------------------
## import rAcctus library
## ---------------------------------------------------------------
rm(list = ls())
#library(rActus)
## ---------------------------------------------------------------
## Preparations
## ---------------------------------------------------------------
# specify analysis date
ad <- "2012-12-31T00"
# create yield curve (for rate reset and valuation)
yc <- YieldCurve()
tenors <- c("1W", "1M", "6M", "1Y", "2Y", "5Y")
rates <- c(0.001, 0.0015, 0.002, 0.01, 0.02, 0.03)
set(yc, what = list(
MarketObjectCode = "YC_Prim",
Nodes = list(ReferenceDate = ad, Tenors = tenors, Rates = rates)))
# create actus risk factor connector (later linking of risk factor(s) and CT)
rf <- RFConn()
add(rf,yc)
get(rf,"Keys")
## ---------------------------------------------------------------
## Plain Vanilla Swap
## ---------------------------------------------------------------
## first leg - a fixed PAM
leg1 <- Pam()
set(leg1, what=list(
ContractID = "001",
Currency = "CHF",
Calendar = "Weekday",
ContractRole = "RPA", # Real Position Asset
StatusDate = "2012-12-31T00", # per this date terms are valid
ContractDealDate = "2012-12-31T00",
InitialExchangeDate = "2013-01-01T00", # here start the contract work
MaturityDate = "2016-01-01T00", # the day of the repayment
NotionalPrincipal = 1000, # nominal value
NominalInterestRate = 0.05, # nominal Interest rate
DayCountConvention = "30E/360",
BusinessDayConvention = "SCF",
CycleAnchorDateOfInterestPayment = "2014-01-01T00",
CycleOfInterestPayment = "1Y-"))
## link the contract to the risk factors
set(leg1, rf) # not really necessary here since no RiskFactor-linked events
## second leg - a floating PAM
leg2 <- Pam()
set(leg2, what=list(
ContractID = "001",
Currency = "CHF",
Calendar = "Weekday",
ContractRole = "RPL", # Real Position Asset
StatusDate = "2012-12-31T00", # per this date terms are valid
ContractDealDate = "2012-12-31T00",
InitialExchangeDate = "2013-01-01T00", # here start the contract work
MaturityDate = "2016-01-01T00", # the day of the repayment
NotionalPrincipal = 1000, # nominal value
NominalInterestRate = 0.05, # nominal Interest rate
DayCountConvention = "30E/360",
BusinessDayConvention = "SCF",
CycleAnchorDateOfInterestPayment = "2014-01-01T00",
CycleOfInterestPayment = "1Y-",
CycleAnchorDateOfRateReset = "2014-01-01T00",
CycleOfRateReset = "1Y-",
MarketObjectCodeRateReset="YC_Prim"))
## link the contract to the risk factors
set(leg2, rf)
## ---------------------------------------------------------------
## Define parent contract - the Swap
## ---------------------------------------------------------------
swap <- Swaps()
set(swap, what=list(
ContractID = "001",
Currency = "CHF",
ContractRole = "RFL", # receive fixed leg
StatusDate = "2012-12-31T00",
ContractDealDate = "2012-12-31T00",
DeliverySettlement = "D"))
## assign the two legs
set(swap, leg1, leg2)
## create valuation engine, link to risk factors and assign to pam
eng <- DcEngine()
set(eng, what=list(dc.spread=0.1,
RiskFactorObjectLink="YC_Prim"))
set(eng, rf)
set(swap, eng)
#' generate contract events
as.data.frame(events(swap,ad))
#' compute nominal value
value(swap,by="2013-01-02",type="nominal")
#' compute markToModel value
value(swap,by="2013-01-02",type="markToModel")
#' plot contract events
plot(swap,ad)
## ---------------------------------------------------------------
## Roller Coaster Swap
## ---------------------------------------------------------------
## first leg - a fixed LAX
leg1 <- Lax()
set(leg1, what=list(
ContractID = "001",
Currency = "CHF",
Calendar = "Weekday",
ContractRole = "RPA", # Real Position Asset
StatusDate = "2012-12-31T00", # on this day we analyse our PAM.
ContractDealDate = "2012-12-31T00",
InitialExchangeDate = "2013-01-02T00", # here start the contract work
NotionalPrincipal = 1000, # nominal value
NominalInterestRate = 0.05, # nominal Interest rate
DayCountConvention = "30E/360",
ArrayCycleAnchorDateOfPrincipalRedemption = "2013-07-01T00, 2015-07-01T00",
ArrayCycleOfPrincipalRedemption = "6M-, 1Y-",
ArrayNextPrincipalRedemptionPayment = "100, 500",
ArrayIncreaseDecrease = "INC, DEC"))
## link the contract to the risk factors
set(leg1, rf) # not really necessary here since no RiskFactor-linked events
## second leg - a floating LAX
leg2 <- Lax()
set(leg2, what=list(
ContractID = "001",
Currency = "CHF",
Calendar = "Weekday",
ContractRole = "RPA", # Real Position Asset
StatusDate = "2012-12-31T00", # on this day we analyse our PAM.
ContractDealDate = "2012-12-31T00",
InitialExchangeDate = "2013-01-02T00", # here start the contract work
NotionalPrincipal = 1000, # nominal value
NominalInterestRate = 0.05, # nominal Interest rate
DayCountConvention = "30E/360",
ArrayCycleAnchorDateOfPrincipalRedemption = "2013-07-01T00, 2015-07-01T00",
ArrayCycleOfPrincipalRedemption = "6M-, 1Y-",
ArrayNextPrincipalRedemptionPayment = "100, 500",
ArrayIncreaseDecrease = "INC, DEC",
ArrayCycleAnchorDateOfRateReset = "2014-07-02T00, 2015-07-02T00, 2016-07-02T00",
ArrayCycleOfRateReset = "NULL, NULL, NULL",
ArrayFixedVariable = "FIX, FIX, FIX",
ArrayRate = "0.02, 0.03, 0.05",
MarketObjectCodeRateReset = "YC_Prim"))
## link the contract to the risk factors
set(leg2, rf)
## ---------------------------------------------------------------
## Define parent contract - the Swap
## ---------------------------------------------------------------
swap <- Swaps()
set(swap, what=list(
ContractID = "001",
Currency = "CHF",
ContractRole = "RFL", # receive fixed leg
StatusDate = "2012-12-31T00",
ContractDealDate = "2012-12-31T00",
DeliverySettlement = "D"))
## assign the two legs
set(swap, leg1, leg2)
## create valuation engine, link to risk factors and assign to pam
eng <- DcEngine()
set(eng, what=list(dc.spread=0.0,
RiskFactorObjectLink="YC_Prim"))
set(eng, rf)
set(swap, eng)
#' generate contract events
as.data.frame(events(swap,ad))
#' compute nominal value
value(swap,by="2013-01-02",type="nominal")
#' compute markToModel value
value(swap,by="2013-01-02",type="markToModel")
#' plot contract events
plot(swap,ad)
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