Path-Dependent Market Risk Observer

• US 20160098795A1
• Filed: 10/02/2014
• Published: 04/07/2016
• Est. Priority Date: 10/02/2014
• Status: Abandoned Application

• Current Assignee: Mehmet Alpay Kaya
• Original Assignee: Mehmet Alpay Kaya
• Inventors: Kaya, Mehmet Alpay
• Application Number:
  US14/504,760
• Publication Number:
  US 20160098795A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

A computerized method is presented for observing the market risk of a portfolio, which includes application of path-dependent analysis to market data and providing risk observations capturing salient characteristics of risk experienced by investors. Advantages of one or more embodiments include support for accurate estimation of probabilities associated with large losses and expected losses at given probabilities. The method is adaptable to all risk estimation functions and is compatible with nonhomogeneous data.

Claims

1. A method implemented by a computer for observing market risk, comprising:

a. accessing, with said computer, market data of a portfolio over an analysis time interval;

b. generating a set of market risk observations by evaluating a path-dependent observation function over said market data; and

c. providing, with the computer, said set of market risk observations;

d. wherein said path-dependent observation function calculates market risk within said analysis time interval; and

e. wherein the computer comprises a non-transitory, computer-readable storage medium having computer-executable instructions recorded thereon that, when executed on the computer, configure the computer to perform said method.

2. The method of claim 1, wherein the path-dependent observation function is minimum interim cumulative return.

3. The method of claim 1, wherein the path-dependent observation function is maximum drawdown return.

4. The method of claim 1, wherein the path-dependent observation function is close2 min return.

5. The method of claim 1, wherein the path-dependent observation function is maxclose2 min return.

6. The method of claim 1, wherein the path-dependent observation function is time-weighted average value return.

7. A method implemented by a computer, comprising:

a. accessing market data of a portfolio, said market data comprising a plurality of portfolio value trajectories;

b. for each of said plurality of portfolio value trajectories, generating a market risk observation;

c. aggregating said market risk observations to generate a market risk distribution of said portfolio; and

d. providing said market risk distribution;

e. wherein each of the plurality of portfolio value trajectories spans an analysis time interval;

f. wherein the market risk observation is generated by evaluating a path-dependent function; and

g. wherein said computer comprises a non-transitory, computer-readable storage medium having computer-executable instructions recorded thereon that, when executed on the computer, configure the computer to perform said method.

8. The method of claim 7, wherein said path-dependent function is minimum interim cumulative return.

9. The method of claim 7, wherein said path-dependent function is maximum drawdown return.

10. The method of claim 7, wherein said path-dependent function is close2 min return.

11. The method of claim 7, wherein said path-dependent function is maxclose2 min return.

12. The method of claim 7, wherein said path-dependent function is time-weighted average value return.

13. A method implemented by a computer, comprising:

a. accessing a value trajectory of a portfolio;

b. generating a market risk observation; and

c. providing said market risk observation;

d. wherein said value trajectory spans an analysis time interval;

e. wherein the market risk observation is generated by evaluating a path-dependent function; and

f. wherein said computer comprises a non-transitory, computer-readable storage medium having computer-executable instructions recorded thereon that, when executed on the computer, configure the computer to perform said method.

14. The method of claim 13, wherein said path-dependent function is minimum interim cumulative return.

15. The method of claim 13, wherein said path-dependent function is maximum drawdown return.

16. The method of claim 13, wherein said path-dependent function is close2 min return.

17. The method of claim 13, wherein said path-dependent function is maxclose2 min return.

18. The method of claim 13, wherein said path-dependent function is time-weighted average value return.