• Fixed Income

    Legal risks in bond prospectuses

    Guest contribution in the FIRM yearbook 2016 (page 231).

     

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  • Fixed Income

    The relationship between Z-spread and bond income

    We derive a “quick-and-dirty” formula for predicting an annualized bond income from the bond’s Z-spread. In particular, it is pointed out that it can be a very bad idea to compute this value by simply multiplying the Z-spread with the bond’s nominal – even though this is sometimes done in the marketplace. Concerning implications, such an annualized income computation is an integral part of the negative basis measurement according to the so-called Z-spread methodology, which should be adjusted according to the suggestions of the present note.

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  • Fixed Income

    [In German only] Hochzinsanleihen - wann platzt die Blase?

    [In German only] Einige aktuelle Aspekte zum Thema Hochzinsanleihen sind in Vortragsform zusammengetragen.

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  • Fixed Income

    Pricing bonds with optional sinking feature via Markov Decision Processes

    Bonds with optional sinking feature have already been discussed in the XAIA homepage article “Z-spreads for bonds with optional sinking feature: a Bellman exercise”. However, only in a rudimentary stochastic framework. Such instruments equip their issuer with the option (but not the obligation) to redeem parts of the notional prior to maturity, therefore the future cash flows are random. In a (non-rudimentary) one-factor model for the issuer's default intensity we show that the pricing algorithm can be formulated and solved as a so-called Markov Decision Process, which is both accurate and quick. The method is demonstrated using a 1.5-factor credit-equity model which defines the default intensity in a reciprocal relationship to the issuer's stock price process.

     

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  • Fixed Income

    Z-spread for bonds with optional sinking feature

    It is explained how to compute a Z-spread for bonds with optional sinking feature. Such instruments equip their issuer with an option (but not an obligation) to redeem parts of the nominal before maturity; therefore the future cash flows generated by the bond are random. The proposed method coincides with the so-called “worst-ansatz“ in the special case of a callable bond. In the general case it relies on a dynamic programming technique based on the Bellman principle.

     

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