User cost of credit card services under risk with intertemporal nonseparability
William A. Barnett, Jinan Liu
University of Kansas, and Center for Financial Stability, USA, email@example.com or firstname.lastname@example.org
Center for Financial Stability, USA, email@example.com or firstname.lastname@example.org
Please cite the paper as:
William A. Barnett, Jinan Liu, (2018), User cost of credit card services under risk with intertemporal nonseparability, World Economics Association (WEA) Conferences, No. 1 2018, Monetary Policy after the Global Crisis, 19th February to 20th April, 2018
This paper derives the user cost of monetary assets and credit card services with interest rate risk under the assumption of intertemporal non-separability. Barnett and Su (2016) derived theory permitting inclusion of credit card transaction services into Divisia monetary aggregates. The risk adjustment in their theory is based on CCAPM1 under intertemporal separability. The equity premium puzzle focusses on downward bias in the CCAPM risk adjustment to common stock returns. Despite the high risk of credit card interest rates, the risk adjustment under the CCAPM assumption of intertemporal separability might nevertheless be similarly small. While the known downward bias of CCAPM risk adjustments are of little concern with Divisia monetary aggregates containing only low risk monetary assets, that downward bias cannot be ignored, once high risk credit card services are included. We believe that extending to intertemporal non-separability could provide a non-negligible risk adjustment, as has been emphasized by Barnett and Wu (2015).
In this paper, we extend the credit-card-augmented Divisia monetary quantity aggregates to the case of risk aversion and intertemporal non- separability in consumption.
Our results are for the “representative consumer” aggregated over all consumers. While credit-card interest-rate risk may be low for some consumers, the volatility of credit card interest rates for the representative consumer is high, as reflected by the high volatility of the Federal Reserve’s data on credit card interest rates aggregated over consumers. One method of introducing intertemporal non-separability is to assume habit formation. We explore that possibility.
To implement our theory, we introduce a pricing kernel, in accordance with the approach advocated by Barnett and Wu (2015). We assume that the pricing kernel is a linear function of the rate of return on a well- diversified wealth portfolio. We find that the risk adjustment of the credit- card-services user cost to its certainty equivalence level can be measured by its beta. That beta depends upon the covariance between the interest rates on credit card services and on the wealth portfolio of the consumer, in a manner analogous to the standard CAPM adjustment. As a result, credit card services’ risk premia depend on their market portfolio risk exposure, which is measured by the beta of the credit card interest rates.
We are currently conducting research on empirical implementation of the theory proposed in this paper. We believe that under intertemporal non- separability, we will be able to generate an accurate credit-card- augmented Divisia monetary index to explain the available empirical data.
Look forward to the empirical verification. It seems very relevant to me.
A brilliant idea and a novel application of something that is actually terra incognita in money supply in the field of monetary economics and macroeconomics. The use of credit-cards as an additional component of money quantity in the economy is surely something that has been overlooked all previous years, especially from the supply-side of the financial system as it is examined in this paper. I truly look forward to the extension of this work as there are many theoretical and empirical aspects that need exploring further. For this reason, an empirical application with actual data from the US and other countries would provide further support and will help to clarify and illustrate the theoretical part more. Nevertheless, an interesting topic would be to include debit cards in the sample as in many countries (especially european and developing) debit cards are also a substantial part of the overall transactions.
This paper gets better with every version I read. It’s come a long way since last year’s SEM, Jinan.
Periklis, is there any data that distinguishes the debt card use from checking? US debit cards are linked to checking (and savings?) accounts, so the amount of that is included. I’m not sure how you would separate out the debit from checking in Divisia since an interest bearing checking account would draw from those deposits earning the same return. There are those debit cards that can be used as credit cards, but stilll not certain how to differentiate that.
I’ve been wondering something similar with the increased use of $100 bills in the US, but I’m not sure how one could separate that out from use of other denominations.
Perikils, I am wondering whether you had intended to post your comment to the paper with Liting Su, rather than to this paper with Jinan Liu. The paper with Liting Su is about the supply side. This paper with Jinan Liu is about demand side aggregation.
Periklis and Ryan, the matter of how to deal with debit cards is a supply side question. It is a matter of measuring value added in financial intermediation. Credit cards do produce a unique form of value added — deferred payment. You cannot go into a store with a check book or with cash, buy something, and say you will return in a month to provide the cash or to write the check. The extension of monetary aggregation to include credit cards captures and includes that value added, which is not supplied by monetary assets. Debit cards are fundamentally different. They do provide services similar to checks. Those services are properties of the demand deposits, rather than fundamentally different produced services. For example, “checkability” is a fundamental service of demand deposits. Debit cards produce an analogous service of demand deposits. While the growing use of debit cards may have increased the liquidity of demand deposits, debit cards do not produce a fundamentally different value added in financial intermediation, but rather increase the services of the demand deposits themselves. At the present time, with interest rates on demand deposits being nearly zero, the Divisia monetary aggregates treat demand deposits as being almost equally as liquid as cash, at the margin, and hence cannot be viewed as undervaluing the liquidity services of demand deposits. Perhaps when interest rates on demand deposits rise, it might be worthwhile to take another look at extracting the services of debit cards, but avoiding the risk of double counting, since already a service of the demand deposits, would have to be taken very seriously.