Financial Instruments Toolbox™ computes prices and sensitivities of interest-rate contingent claims based on several methods of modeling changes in interest rates over time:

The interest-rate term structure

This model uses sets of zero-coupon bonds to predict changes in interest rates.

Heath-Jarrow-Morton (HJM) model

The HJM model considers a given initial term structure of interest rates and a specification of the volatility of forward rates to build a tree representing the evolution of the interest rates, based on a statistical process.

In the BDT model, all security prices and rates depend on the short rate (annualized 1-period interest rate). The model uses long rates and their volatilities to construct a tree of possible future short rates. The resulting tree can then be used to determine the value of interest-rate sensitive securities from this tree.

The Hull-White model incorporates the initial term structure of interest rates and the volatility term structure to build a trinomial recombining tree of short rates. The resulting tree is used to value interest-rate dependent securities. The implementation of the HW model in Financial Instruments Toolbox is limited to one factor.

The BK model is a single-factor, log-normal version of the HW model.

For detailed information about interest-rate models, see:

Pricing Using Interest-Rate Term Structure for a discussion of price and sensitivity based on portfolios of zero-coupon bonds

Pricing Using Interest-Rate Tree Models for a discussion of price and sensitivity based on the HJM and BDT interest-rate models

**Note**Historically, the initial version of Financial Instruments Toolbox provided only the HJM interest-rate model. A later version added the BDT model. The current version adds both the HW and BK models. This section provides extensive examples of using the HJM and BDT models to compute prices and sensitivities of interest-rate based financial derivatives.

The HW and BK tree structures are similar to the BDT tree structure. To avoid needless repetition throughout this section, documentation is provided only where significant deviations from the BDT structure exist. Specifically, HW and BK Tree Structures explains the few noteworthy differences among the various formats.

The interest-rate or price trees supported in this toolbox can
be either *binomial* (two branches per node) or *trinomial* (three
branches per node). Typically, binomial trees assume that underlying
interest rates or prices can only either increase or decrease at each
node. Trinomial trees allow for a more complex movement of rates or
prices. With trinomial trees, the movement of rates or prices at each
node is unrestricted (for example, up-up-up or unchanged-down-down).

Financial Instruments Toolbox trees can be classified as *bushy* or *recom**bining*.
A bushy tree is a tree in which the number of branches increases exponentially
relative to observation times; branches never recombine. In this context,
a recombining tree is the opposite of a bushy tree. A recombining
tree has branches that recombine over time. From any given node, the
node reached by taking the path up-down is the same node reached by
taking the path down-up. A bushy tree and a recombining binomial tree
are illustrated next.

In this toolbox the Heath-Jarrow-Morton model works with bushy trees. The Black-Derman-Toy model, on the other hand, works with recombining binomial trees.

The other two interest rate models supported in this toolbox, Hull-White and Black-Karasinski, work with recombining trinomial trees.

This toolbox provides the data file `deriv.mat`

that contains four interest-rate
based trees:

`HJMTree`

— A bushy binomial tree`BDTTree`

— A recombining binomial tree`HWTree`

and`BKTree`

— Recombining trinomial trees

The toolbox also provides the `treeviewer`

function,
which graphically displays the shape and data of price, interest rate,
and cash flow trees. Viewed with `treeviewer`

,
the bushy shape of an HJM tree and the recombining shape of a BDT
tree are apparent.

With `treeviewer`

, you
can also see the recombining shape of HW and BK trinomial trees.

`bdtprice`

| `bdtsens`

| `bdttimespec`

| `bdttree`

| `bdtvolspec`

| `bkprice`

| `bksens`

| `bktimespec`

| `bktree`

| `bkvolspec`

| `bondbybdt`

| `bondbybk`

| `bondbyhjm`

| `bondbyhw`

| `bondbyzero`

| `capbybdt`

| `capbybk`

| `capbyblk`

| `capbyhjm`

| `capbyhw`

| `cfbybdt`

| `cfbybk`

| `cfbyhjm`

| `cfbyhw`

| `cfbyzero`

| `fixedbybdt`

| `fixedbybk`

| `fixedbyhjm`

| `fixedbyhw`

| `fixedbyzero`

| `floatbybdt`

| `floatbybk`

| `floatbyhjm`

| `floatbyhw`

| `floatbyzero`

| `floatdiscmargin`

| `floatmargin`

| `floorbybdt`

| `floorbybk`

| `floorbyblk`

| `floorbyhjm`

| `floorbyhw`

| `hjmprice`

| `hjmsens`

| `hjmtimespec`

| `hjmtree`

| `hjmvolspec`

| `hwcalbycap`

| `hwcalbyfloor`

| `hwprice`

| `hwsens`

| `hwtimespec`

| `hwtree`

| `hwvolspec`

| `instbond`

| `instcap`

| `instcf`

| `instfixed`

| `instfloat`

| `instfloor`

| `instoptbnd`

| `instoptembnd`

| `instoptemfloat`

| `instoptfloat`

| `instrangefloat`

| `instswap`

| `instswaption`

| `intenvprice`

| `intenvsens`

| `intenvset`

| `mmktbybdt`

| `mmktbyhjm`

| `oasbybdt`

| `oasbybk`

| `oasbyhjm`

| `oasbyhw`

| `optbndbybdt`

| `optbndbybk`

| `optbndbyhjm`

| `optbndbyhw`

| `optembndbybdt`

| `optembndbybk`

| `optembndbyhjm`

| `optembndbyhw`

| `optemfloatbybdt`

| `optemfloatbybk`

| `optemfloatbyhjm`

| `optemfloatbyhw`

| `optfloatbybdt`

| `optfloatbybk`

| `optfloatbyhjm`

| `optfloatbyhw`

| `rangefloatbybdt`

| `rangefloatbybk`

| `rangefloatbyhjm`

| `rangefloatbyhw`

| `swapbybdt`

| `swapbybk`

| `swapbyhjm`

| `swapbyhw`

| `swapbyzero`

| `swaptionbybdt`

| `swaptionbybk`

| `swaptionbyblk`

| `swaptionbyhjm`

| `swaptionbyhw`

- Pricing Using Interest-Rate Term Structure
- Pricing Using Interest-Rate Tree Models
- Pricing Using Interest-Rate Term Structure
- Graphical Representation of Trees
- Understanding the Interest-Rate Term Structure

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