Abstract: Methods and systems are disclosed for determining valuation and risk analysis of municipal debt instruments on an after-tax basis. In one embodiment, bond terms, yield curve and interest rate volatility data are received for a set of bonds. Additionally, IRS treatment data and applicable tax rates for the set of bonds and a purchaser of the bonds are also received. Theoretical tax-neutral values of the bonds are calculated using a buy-and-hold methodology, wherein the tax-neutral value comprises the price of the at least one municipal debt offering such that its discounted after-tax value equals the price. A theoretical maximum after-tax values of the bonds are also calculated using a recursive valuation path-dependent methodology. Optimal bond management is determined using the calculated theoretical tax-neutral values and maximum after-tax values of the bonds.

Abstract: Methods and systems are disclosed for determining valuation and risk analysis of municipal debt instruments on an after-tax basis. In one embodiment, bond terms, yield curve and interest rate volatility data are received for a set of bonds. Additionally, IRS treatment data and applicable tax rates for the set of bonds and a purchaser of the bonds are also received. Theoretical tax-neutral values of the bonds are calculated using a buy-and-hold methodology, wherein the tax-neutral value comprises the price of the at least one municipal debt offering such that its discounted after-tax value equals the price. A theoretical maximum after-tax values of the bonds are also calculated using a recursive valuation path-dependent methodology. Optimal bond management is determined using the calculated theoretical tax-neutral values and maximum after-tax values of the bonds.

Abstract: Methods and systems are disclosed for calculating borrowing cost of municipal debt instruments. In an embodiment, a method receives terms, yield curve and interest rate volatility data for a set of bonds and then specifies an evolution of interest rates for each of the bonds. The method receives an option value V for each of the bonds and determines proceeds P for each bond. The method obtains an Option-Adjusted True Interest Cost (OATIC) for the bonds by adding the option values V to the proceeds P and finding a single discount rate that equates a present value of respective debt service for the bonds to P+V. In another embodiment, a system specifies an evolution of interest rates and receives an option value V for municipal debt offerings. The system selects a bond based on expected costs of bonds, which are calculated using OATIC values and identifies a preferred bond.

Abstract: A method and system for selecting a preferred debt instrument (e.g., mortgage) for an individual consumer, where the option adjusted spreads (OAS) and risk measures of a plurality of debt instruments are determined and ranked using standard bond valuation methodology. A typical scenario involves a consumer inputting a plurality of mortgages and associated features (e.g., term of loan or type of interest rate) and receiving the option adjusted spread and risk measure for each mortgage, from which the consumer may select the appropriate mortgage having the lowest option adjusted spread within his or her risk tolerance. These steps can be implemented by a computer which includes a central processing unit (CPU) and a computer code operatively associated with the CPU. The relative option adjusted spreads and risk measures of various debt instruments can be displayed on a visual display or used to automatically commence the financing of a mortgage.

Abstract: New tools for modeling prepayment of principal by obligors behind asset-backed securities are provided. The obligors are categorized into groups for ordered removal from the modeling and valuation process according to their refinancing efficiency, for instance. These tools can be used in a coupled-lattice recursive analysis process to obtain the value of asset-backed securities such as mortgage-backed securities and collateralized mortgage obligations.

Abstract: New tools for modeling prepayment of principal by obligors behind asset-backed securities are provided. The obligors are categorized into groups for ordered removal from the modeling and valuation process according to their refinancing efficiency, for instance. These tools can be used in a coupled-lattice recursive analysis process to obtain the value of asset-backed securities such as mortgage-backed securities and collateralized mortgage obligations.