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Remarks by Chairman Ben S. Bernanke
At a conference on The Credit Channel of Monetary Policy in the Twenty-first Century, Federal Reserve Bank of Atlanta, Atlanta, Georgia
June 15, 2007

The Financial Accelerator and the Credit Channel

Economic growth and prosperity are created primarily by what economists call "real" factors--the productivity of the workforce, the quantity and quality of the capital stock, the availability of land and natural resources, the state of technical knowledge, and the creativity and skills of entrepreneurs and managers. But extensive practical experience as well as much formal research highlights the crucial supporting role that financial factors play in the economy. An entrepreneur with a great new idea for building a better mousetrap typically must tap financial capital, perhaps from a bank or a venture capitalist, to transform that idea into a profitable commercial enterprise. To expand and modernize their plants and increase their staffs, most firms must turn to financial markets or to financial institutions to secure this essential input. Families rely on the financial markets to obtain mortgages or to help finance their children's educations. In short, healthy financial conditions help a modern economy realize its full potential. For this reason, one of the critical priorities of developing economies is establishing a modern, well-functioning financial system. In the United States, a deep and liquid financial system has promoted growth by effectively allocating capital and has increased economic resilience by increasing our ability to share and diversify risks both domestically and globally.

Just as a healthy financial system promotes growth, adverse financial conditions may prevent an economy from reaching its potential. A weak banking system grappling with nonperforming loans and insufficient capital or firms whose creditworthiness has eroded because of high leverage or declining asset values are examples of financial conditions that could undermine growth. Japan faced just this kind of challenge when the financial problems of banks and corporations contributed substantially to sub-par growth during the so-called "lost decade."

As the topic of this conference reminds us, financial conditions may affect shorter-term economic conditions as well as the longer-term health of the economy. Notably, some evidence supports the view that changes in financial and credit conditions are important in the propagation of the business cycle, a mechanism that has been dubbed the "financial accelerator." Moreover, a fairly large literature has argued that changes in financial conditions may amplify the effects of monetary policy on the economy, the so-called credit channel of monetary-policy transmission. In fact, as I will discuss, these two ideas are essentially related. As someone who (in a former life) did research on both of these topics, I thought it might be useful for me to provide a somewhat personal overview of the financial accelerator and credit channel ideas and their common underlying logic. Along the way I will offer a few thoughts on where future research might be most productive.

Market Frictions and the Real Effects of Financial and Credit Conditions
Economists have not always fully appreciated the importance of a healthy financial system for economic growth or the role of financial conditions in short-term economic dynamics. As a matter of intellectual history, the reason is not difficult to understand. During the first few decades after World War II, economic theorists emphasized the development of general equilibrium models of the economy with complete markets; that is, in their analyses, economists generally abstracted from market "frictions" such as imperfect information or transaction costs. But without such frictions, financial markets have little reason to exist. For example, with complete markets (and if we ignore taxes), we know that whether a corporation finances itself by debt or equity is irrelevant (the Modigliani-Miller theorem).

The blossoming of work on asymmetric information and principal-agent theory, led by Nobel laureates Joseph Stiglitz and George Akerlof and with contributions from many other researchers, gave economists the tools to think about the central role of financial markets in the real economy. For example, the classic 1976 paper by Michael Jensen and William Meckling showed that, in a world of imperfect information and principal-agent problems, the capital structure of the firm could be used as a tool by shareholders to better align the incentives of managers with the shareholders' interests. Thus was born a powerful and fruitful rejoinder to the Modigliani-Miller neutrality result and, more broadly, a perspective on capital structure that has had enduring influence.

My own first job as an academic was at Stanford University, where I arrived as an assistant professor in the Graduate School of Business in 1979. At the time, Stanford was a hotbed of work on asymmetric information, incentives, and the principal-agent problem; and even though my field was macroeconomics, I was heavily influenced by that intellectual environment. I became particularly interested in how this perspective on financial markets could help explain why financial crises--that is, extreme disruptions of the normal functioning of financial markets--seem often to have a significant impact on the real economy. Putting the issue in the context of U.S. economic history, I laid out, in a 1983 article, two channels by which the financial problems of the 1930s may have worsened the Great Depression (Bernanke, 1983).

The first channel worked through the banking system. As emphasized by the information-theoretic approach to finance, a central function of banks is to screen and monitor borrowers, thereby overcoming information and incentive problems. By developing expertise in gathering relevant information, as well as by maintaining ongoing relationships with customers, banks and similar intermediaries develop "informational capital." The widespread banking panics of the 1930s caused many banks to shut their doors; facing the risk of runs by depositors, even those who remained open were forced to constrain lending to keep their balance sheets as liquid as possible. Banks were thus prevented from making use of their informational capital in normal lending activities. The resulting reduction in the availability of bank credit inhibited consumer spending and capital investment, worsening the contraction.

The second channel through which financial crises affected the real economy in the 1930s operated through the creditworthiness of borrowers. In general, the availability of collateral facilitates credit extension. The ability of a financially healthy borrower to post collateral reduces the lender's risks and aligns the borrower's incentives with those of the lender. However, in the 1930s, declining output and falling prices (which increased real debt burdens) led to widespread financial distress among borrowers, lessening their capacity to pledge collateral or to otherwise retain significant equity interests in their proposed investments. Borrowers' cash flows and liquidity were also impaired, which likewise increased the risks to lenders. Overall, the decline in the financial health of potential borrowers during the Depression decade further impeded the efficient allocation of credit. Incidentally, this information-based explanation of how the sharp deflation in prices in the 1930s may have had real effects was closely related to, and provided a formal rationale for, the idea of "debt-deflation," advanced by Irving Fisher in the early 1930s (Fisher, 1933).

The External Finance Premium and the Financial Accelerator
Both real and monetary shocks produced the Great Depression, and in my 1983 paper I argued that banking and financial markets propagated both types of impulses, without distinguishing sharply between the two. My subsequent research and that of many others looked separately at the role of financial conditions in amplifying both monetary and nonmonetary influences.

On the nonmonetary side, Mark Gertler and I showed how, in principle, the effects of a real shock (such as a shock to productivity) on financial conditions could lead to persistent fluctuations in the economy, even if the initiating shock had little or no intrinsic persistence (Bernanke and Gertler, 1989). A key concept in our analysis was the external finance premium, defined as the difference between the cost to a borrower of raising funds externally and the opportunity cost of internal funds. External finance (raising funds from lenders) is virtually always more expensive than internal finance (using internally generated cash flows), because of the costs that outside lenders bear of evaluating borrowers' prospects and monitoring their actions. Thus, the external finance premium is generally positive. Moreover, the theory predicts that the external finance premium that a borrower must pay should depend inversely on the strength of the borrower's financial position, measured in terms of factors such as net worth, liquidity, and current and future expected cash flows. Fundamentally, a financially strong borrower has more "skin in the game," so to speak, and consequently has greater incentives to make well-informed investment choices and to take the actions needed to ensure good financial outcomes. Because of the good incentives that flow from the borrower's having a significant stake in the enterprise and the associated reduction in the need for intensive evaluation and monitoring by the lender, borrowers in good financial condition generally pay a lower premium for external finance.1

The inverse relationship of the external finance premium and the financial condition of borrowers creates a channel through which otherwise short-lived economic shocks may have long-lasting effects. In the hypothetical case that Gertler and I analyzed, an increase in productivity that improves the cash flows and balance sheet positions of firms leads in turn to lower external finance premiums in subsequent periods, which extends the expansion as firms are induced to continue investing even after the initial productivity shock has dissipated. This "financial accelerator" effect applies in principle to any shock that affects borrower balance sheets or cash flows. The concept is useful in that it can help to explain the persistence and amplitude of cyclical fluctuations in a modern economy.

Although the financial accelerator seems intuitive--certainly financial and credit conditions tend to be procyclical--nailing down this mechanism empirically has not proven entirely straightforward. For example, empirical studies of business investment in structures, equipment, and inventories have often found that a firm's cash flow significantly determines its level of investment and that the link between cash flow and investment tends to be stronger for firms (such as relatively small firms) that have more limited access to capital markets.2 In a "frictionless" capital market in which borrowers do not face an external finance premium, a firm's cash position would be irrelevant to its decision to invest because efficient capital markets would supply any necessary funding for investment projects expected to yield a positive net return. Thus, findings of a positive association between cash flow and investment tends to support the financial accelerator theory.

These findings also raise issues and questions, however. I will mention two. First, as a number of researchers have pointed out, the apparent empirical link between cash flow and investment may arise because cash flow proxies for difficult-to-measure factors like the prospective return on investment, which would be relevant to the investment decision even without capital-market frictions. This identification problem is a difficult one. However, some work that has attempted to correct for this possible misspecification has still found a role for cash flow (see, for example, Gilchrist and Himmelberg, 1999). Second, if only the smallest firms have significant external finance premiums, as implied by some research, then the macroeconomic significance of the financial accelerator may be questioned. One response to this point, pursued by several researchers, has been to dispute the claim that small firms do not play a significant role in business-cycle fluctuations. For example, small firms apparently account for a significant portion of cyclical changes in employment and inventory stocks. Another response has been to argue that even large firms with relatively good access to capital markets may face nontrivial external finance premiums. For instance, using a sample that included large public companies, researchers at the Board have estimated external finance premiums of economically significant magnitudes, and they showed that these premiums rose sharply during the 2001 recession, as predicted by the financial accelerator theory (Levin, Natalucci, and Zakrajsek, 2004; Levin and Natalucci, 2005).

Financial accelerator effects need not be confined to firms and capital spending but may operate through household spending decisions as well.3 Household borrowers, like firms, presumably face an external finance premium, which is lower the stronger their financial position. For households, home equity is often a significant part of net worth. Certainly, households with low mortgage loan-to-value ratios can borrow on relatively favorable terms through home-equity lines of credit, with the equity in their home effectively serving as collateral. If the financial accelerator hypothesis is correct, changes in home values may affect household borrowing and spending by somewhat more than suggested by the conventional wealth effect because changes in homeowners' net worth also affect their external finance premiums and thus their costs of credit. If true, this hypothesis has various interesting implications. For example, unlike the standard view based on the wealth effect, this approach would suggest that the distribution of housing wealth across the population matters because the effect on aggregate consumption of a given decline in house prices is greater, the greater the fraction of consumers who begin with relatively low home equity. Another possible implication is that the structure of mortgage contracts may matter for consumption behavior. In countries like the United Kingdom, for example, where most mortgages have adjustable rates, changes in short-term interest rates (whether induced by monetary policy or some other factor) have an almost immediate effect on household cash flows. If household cash flows affect access to credit, then consumer spending may react relatively quickly. In an economy where most mortgages carry fixed rates, such as the United States, that channel of effect may be more muted. I do not think we know at this point whether, in the case of households, these effects are quantitatively significant in the aggregate. Certainly, these issues seem worthy of further study.

Monetary Policy and the Credit Channel
The ideas I have been discussing today have also been useful in understanding the nature of the monetary policy transmission process. Some evidence suggests that the influence of monetary policy on real variables is greater than can be explained by the traditional "cost-of-capital" channel, which holds that monetary policy affects borrowing, investment, and spending decisions solely through its effect on the level of market interest rates. This finding has led researchers to look for supplementary channels through which monetary policy may affect the economy. One such supplementary channel, the so-called credit channel, holds that monetary policy has additional effects because interest-rate decisions affect the cost and availability of credit by more than would be implied by the associated movement in risk-free interest rates, such as Treasury rates. The credit channel, in turn, has traditionally been broken down into two components or channels of policy influence: the balance-sheet channel and the bank-lending channel (Bernanke and Gertler, 1995). The balance-sheet channel of monetary policy is closely related to the idea of the financial accelerator that I have already discussed. That theory builds from the premise that changes in interest rates engineered by the central bank affect the values of the assets and the cash flows of potential borrowers and thus their creditworthiness, which in turn affects the external finance premium that borrowers face. For example, according to this view, a tightening of monetary policy that reduces the net worth and liquidity of borrowers would increase the effective cost of credit by more than the change in risk-free rates and thus would intensify the effect of the policy action.

In the interest of time I will confine the remainder of my remarks to the bank-lending channel. The theory of the bank-lending channel holds that monetary policy works in part by affecting the supply of loans offered by depository institutions. This concept is a cousin of the idea I proposed in my paper on the Great Depression, that the failures of banks during the 1930s destroyed "information capital" and thus reduced the effective supply of credit to borrowers. Alan Blinder and I adapted this general idea to show how, by affecting banks' loanable funds, monetary policy could influence the supply of intermediated credit (Bernanke and Blinder, 1988).

Historically, monetary policy did appear to affect the supply of bank loans (at any given level of interest rates). In the 1960s and 1970s, when reserve requirements were higher and more comprehensive than they are today, Federal Reserve open market operations that drained reserves from the banking system tended to force a contraction in deposits. Regulation Q, which capped interest rates payable on deposits, prevented banks from offsetting the decline in deposits by offering higher interest rates. Moreover, banks had limited alternatives to deposits as a funding source. Thus, monetary tightening typically resulted in a shrinking of banks' balance sheets and a diversion of funds away from the banking system, a phenomenon known as disintermediation. The extension of credit to bank-dependent borrowers, which included many firms as well as households, was consequently reduced, with implications for spending and economic activity.

Of course, much has changed in U.S. banking and financial markets since the 1960s and 1970s. Reserve requirements are lower and apply to a smaller share of deposits than in the past. Regulation Q is gone. And the capital markets have become deep, liquid, and easily accessible, either directly or indirectly, to almost all depository institutions. Although the traditional bank-lending channel may still be operative in economies that remain relatively more bank-dependent, as recent research has found for some European countries (Ehrmann and others, 2003), in the United States today it seems unlikely to be quantitatively important.

This is not to say, however, that financial intermediation no longer matters for monetary policy and the transmission of economic shocks. For example, although banks and other intermediaries no longer depend exclusively on insured deposits for funding, nondeposit sources of funding are likely to be relatively more expensive than deposits, reflecting the credit risks associated with uninsured lending (Stein, 1998). Moreover, the cost and availability of nondeposit funds for any given bank will depend on the perceived creditworthiness of the institution. Thus, the concerns of holders of uninsured bank liabilities about bank credit quality generate an external finance premium for banks that is similar to that faced by other borrowers. The external finance premium paid by banks is presumably reflected in turn in the cost and availability of funds to bank-dependent borrowers. Importantly, this way of casting the bank-lending channel unifies the financial accelerator and credit channel concepts, as the central mechanism of both is seen to be the external finance premium and its relationship to borrowers' balance sheets. The only difference is that the financial accelerator focuses on the ultimate borrowers--firms and households--whereas financial intermediaries are the relevant borrowers in the theory of the credit channel. By the way, the existence of loan sales and the originate-to-distribute model of bank lending does not fundamentally change this picture. Loan sales and similar activities are, in essence, another form of nondeposit financing, and the effective cost of this form of funding to the bank will generally depend on its perceived financial strength and resources (which may affect recourse and reinsurance arrangements with the loan purchasers, for example).

Recently, researchers have pursued a number of approaches in search of evidence of a distinct banking channel. For example, some researchers have focused on smaller banks, which may have fewer funding alternatives to deposits and whose customer base may consist disproportionately of bank-dependent borrowers (Kashyap and Stein, 2000). Of course, these days, even the smallest of banks has ready access to sources of funds other than retail deposits. Thus, even for the smallest banks, the source of any bank-lending channel remains the existence of a finance premium on marginal sources of (uninsured) nondeposit funding, rather than an absolute constraint on the quantity of available funding. Moreover, for the bank channel to affect economic activity, borrowers accustomed to relying on banks must be unable to turn to other lenders, at least not without some cost. For some business borrowers, particularly small business borrowers that rely on banking relationships, this scenario is plausible.4 But financial innovation and deregulation imply that borrowers in the market for a mortgage or consumer credit have numerous nonbank financing alternatives, blunting any direct impact of changes in bank lending. I will return to nonbank lending and its implications in a moment.

If relationship borrowing is the key, then--as pointed out in the paper at this conference by Black, Hancock, and Passmore--a bank with many such borrowers might defensively invest in deposit capacity, say, by increasing the number of branches. By actively seeking to finance a high share of loans with insured deposits, such a bank could shield its borrowers from the effects of increases in the nondeposit finance premium, whether the result of monetary policy or some other factor. Consistent with this idea, these authors find that banks that make a large share of their loans to small businesses also tend to have a high ratio of deposits to loans.

The recognition that, fundamentally, the bank-lending channel is based on changes in the quality of bank balance sheets naturally turns our attention to bank capital and its determinants (Van den Heuvel, 2002). Raising new capital on the open market can be difficult and costly for many banks, implying that, in the short run, capital is determined by earnings and changes in asset values. Changes in the value of capital, particularly when a bank's capital is not much higher than the level demanded by regulators or the market, potentially affects the bank's cost of funds. In conformity with this hypothesis, various studies have found evidence that loans provided by banks that are more capital-constrained seem more sensitive to changes in market interest rates than loans provided by highly capitalized banks.5 Moreover, changes in the financial condition of banks may play a role in cyclical developments. I have already mentioned the cases of Japan's "lost decade." Closer to home, some believe that the U.S. economy's recovery from the 1990-91 recession was delayed by "financial headwinds," which arose from regional shortages of bank capital (Bernanke and Lown, 1991).

One might view the idea that banks are somehow "special" in their ability to gather information and to screen and monitor borrowers as rather dated. Banks do continue to play a central role in credit markets; in particular, because of the burgeoning market for loan sales, banks originate considerably more loans than they keep on their books. Nevertheless, nonbank lenders have become increasingly important in many credit markets, and relatively few borrowers are restricted to banks as sources of credit. Of course, nonbank lenders do not have access to insured deposits. However, they can fund loans by borrowing on capital markets or by selling loans to securitizers. Does the rise of nonbank lenders make the bank-lending channel irrelevant?

I am not so sure that it does. Like banks, nonbank lenders have to raise funds in order to lend, and the cost at which they raise those funds will depend on their financial condition--their net worth, their leverage, and their liquidity, for example. Thus, nonbank lenders also face an external finance premium that presumably can be influenced by economic developments or monetary policy. The level of the premium they pay will in turn affect the rates that they can offer borrowers. Thus, the ideas underlying the bank-lending channel might reasonably extend to all private providers of credit. Further investigation of this possibility would be quite worthwhile.

Conclusion
I have taken you on a whirlwind tour of several decades of research on how variations in the financial condition of borrowers, whether arising from changes in monetary policy or from other forces, can affect short-term economic dynamics. The critical idea is that the cost of funds to borrowers depends inversely on their creditworthiness, as measured by indicators such as net worth and liquidity. Endogenous changes in creditworthiness may increase the persistence and amplitude of business cycles (the financial accelerator) and strengthen the influence of monetary policy (the credit channel). As I have noted today, what has been called the bank-lending channel--the idea that banks play a special role in the transmission of monetary policy--can be integrated into this same broad logical framework, if we focus on the link between the bank's financial condition and its cost of capital. Nonbank lenders may well be subject to the same forces.

Let me conclude by offering you best wishes for a stimulating and enjoyable last day of the conference. Policymakers and scholars both will benefit from your efforts.

References

Almeida, Heitor, Murillo Campello, and Crocker H. Liu (2006). "The Financial Accelerator: Evidence from International Housing Markets," Review of Finance, vol. 10 (September), pp. 1-32.

Aoki, Kosuki, James Proudman, and Gertjan Vlieghe (2002). "Houses as Collateral: Has the Link between House Prices and Consumption in the U.K. Changed?" (188 KB PDF) Economic Policy Review, Federal Reserve Bank of New York, May, pp. 163-77

-----------------------------------------------(2004). "House Prices, Consumption, and Monetary Policy: A Financial Accelerator Approach," Journal of Financial Intermediation, vol. 13 (October), pp. 414-35.

Avery, Robert B., and Katherine A. Samolyk (2004). "Bank Consolidation and the Provision of Banking Services: Small Commercial Loans," Journal of Financial Services Research, vol. 25 (April), pp. 291-325.

Bernanke, Ben S. (1983). "Non-Monetary Effects of the Financial Crisis in the Propagation of the Great Depression," American Economic Review, vol. 73 (June), pp. 257-76.

Bernanke, Ben S., and Alan S. Blinder (1988). "Credit, Money, and Aggregate Demand," American Economic Review, vol. 78, Papers and Proceedings of the 100th Annual Meeting of the American Economics Association, May, pp. 435-39.

Bernanke, Ben S., and Mark Gertler (1989). "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, vol. 79 (March), pp. 14-31.

--------------------------------------(1995). "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, vol. 9 (Fall), pp. 27-48.

Bernanke, Ben S., Mark Gertler, and Simon Gilchrist (1999). "The Financial Accelerator in a Quantitative Business Cycle Framework," in Handbook of Macroeconomics, Volume 1C, Handbooks in Economics, vol. 15. Amsterdam: Elsevier, pp. 1341-93.

Bernanke, Ben S., and Cara S. Lown (1991). "The Credit Crunch," Brookings Papers on Economic Activity, 1991:2, pp. 205-39.

Black, Lamont, Diana Hancock, and Wayne Passmore (2007). "Bank Core Deposits and the Mitigation of Monetary Policy," unpublished paper, Board of Governors of the Federal Reserve System, June.

Calomiris, Charles W., Charles P. Himmelberg, and Paul Wachtel (1995). "Commercial Paper, Corporate Finance and the Business Cycle: A Microeconomic Perspective," Carnegie-Rochester Series on Public Policy, vol. 42 (June), pp. 203-50.

Carlstrom, CharlesT., and Timothy S. Fuerst (2001). "Monetary Policy in a World without Perfect Capital Markets," Working Paper 0115, Federal Reserve Bank of Cleveland.

Carpenter, Robert E., Steven M. Fazzari, and Bruce C. Petersen (1998). "Financing Constraints and Inventory Investment: A Comparative Study with High-Frequency Panel Data," (265 KB PDF) Review of Economics and Statistics, vol. 80 (December), pp. 513-19.

Ehrmann, Michael, Leonardo Gambacorta, Jorge Martinez-Pages, Patrick Sevestre, and Andreas Worms (2003). "Financial Systems and the Role of Banks in Monetary Policy Transmission in the Euro Area," in Ignazio Angeloni, Anil K Kashyap, and Benoit Mojon, eds., Monetary Policy Transmission in the Euro area: A Study by the Eurosystem Monetary Transmission Network,. Cambridge: Cambridge University Press.

Fisher, Irving (1933). "The Debt-Deflation Theory of Great Depressions," Econometrica, vol. 1 (October), pp. 337-57.

Gambacorta, Leonardo (2005). "Inside the Bank Lending Channel," European Economic Review, vol. 49 (October), pp. 1737-59.

Gilchrist, Simon, and Charles Himmelberg (1999). "Investment, Fundamentals and Finance," in Ben S. Bernanke and Julio Rotemberg, eds. NBER Macroeconomics Annual 1998. Cambridge, Mass.: MIT Press.

Iacoviello, Matteo (2005). "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, vol. 95 (June), pp. 739-64.

Jensen, Michael C., and William H. Meckling (1976). "Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure," Journal of Financial Economics, vol. 3 (October), pp. 305-60.

Kashyap, Anil K, and Jeremy C. Stein (2000). "What Do a Million Observations on Banks Say about the Transmission of Monetary Policy?" American Economic Review, vol. 90 (June), pp. 407-28.

Kishan, Ruby P., and Timothy Opiela (2000). "Bank Size, Bank Capital, and the Bank Lending Channel," Journal of Money, Credit, and Banking, vol. 32 (February), pp. 121-41.

------------------------------- (2006). "Bank Capital and Loan Asymmetry in the Transmission of Monetary Policy," Journal of Banking and Finance, vol. 30 (January), pp. 259-85.

Kiyotaki, Nobuhiro, and John Moore (1997). "Credit Cycles," Journal of Political Economy, vol. 105 (April), pp. 211-48.

Levin, Andrew T., and Fabio M. Natalucci (2005). "The Magnitude and Cyclical Behavior of Financial Market Frictions," 2005 Meeting Papers 443, Society for Economic Dynamics.

Levin, Andrew T., Fabio M. Natalucci, and Egon Zakrajsek (2004). "The Magnitude and Cyclical Behavior of Financial Market Frictions," Finance and Economics Discussion Series 2004-70, Board of Governors of the Federal Reserve System, December.

Stein, Jeremy C. (1998). "An Adverse-Selection Model of Bank Asset and Liability Management with Implications for the Transmission of Monetary Policy," RAND Journal of Economics, vol. 29 (Autumn), pp. 466-86.

Van den Heuvel, Skander (2002). "Does Bank Capital Matter for Monetary Transmission?" (100 KB PDF) Economic Policy Review, Federal Reserve Bank of New York (May), pp. 1-7.

Footnotes

1. Over the past two decades, an extensive theoretical literature has exploited the idea that borrowers' financial positions affect their external finance premiums and thus their overall cost of credit. See, for example, Bernanke and Gertler (1989), Kiyotaki and Moore (1997), Bernanke, Gertler, and Gilchrist (1999), Carlstrom and Fuerst (2001), Aoki, Proudman and Vlieghe (2004), and Iacoviello (2005).

2. Calomiris, Himmelberg and Wachtel,(1995), Carpenter, Fazzari and Petersen (1998), and Gilchrist and Himmelberg (1999).

3. See Aoki, Proudman and Vlieghe (2002, 2004), Iacoviello (2005), and Almeida, Campello and Liu (2006).

4. In recent years, community banks appear to have become increasingly important in lending to small businesses (Avery and Samolyk, 2004).

5. Kishan and Opiela, (2000), Kishan and Opiela, (2006), and Gambacorta (2005).

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車보험 '8주룰' 10일부터 시행 [서울=뉴스핌] 이윤애 기자 = 자동차보험 경상환자의 장기치료 필요성을 별도로 심사하는 이른바 '8주룰' 시행이 하루 앞으로 다가왔다. 앞으로 자동차 사고로 타박상이나 염좌 등 가벼운 부상을 입은 환자가 8주를 넘겨 치료받으려면 양·한방 전문 의료인의 검토를 거쳐야 한다. 시행을 앞두고 운전자들 사이에서는 언제 발생한 사고부터 새 기준이 적용되는지, 8주가 지나면 치료가 중단되는 것인지 등을 두고 혼선이 예상된다. 8일 보험업계에 따르면 개정 자동차손해배상 보장법 시행령은 오는 10일부터 시행된다. 제도 적용 여부를 가르는 기준은 치료를 시작한 날짜나 8주가 도래하는 시점이 아닌 '사고 발생일'이다. 실제 첫 심사 대상은 9월 10일 사고 환자가 8주를 넘기는 11월 초부터 나올 전망이다. [서울=뉴스핌] 이윤애 기자 = [AI일러스트] 2026.09.08 yunyun@newspim.com 이에 따라 9일까지 발생한 사고로 치료 중인 환자는 치료기간이 8주를 넘어가더라도 기존 보상 절차를 따른다. 반면 새 제도 적용 대상인 상해등급 12~14급 경상환자가 8주를 넘겨 치료를 계속하려면 자동차손해배상진흥원(자배원)의 치료 필요성 검토를 받아야 한다. 당분간 사고일에 따라 서로 다른 보상 절차가 적용되는 과도기도 불가피하다. 9일 발생한 사고는 이후 치료기간이 8주를 넘겨도 새 심사 대상이 아니지만, 10일 사고부터는 새 기준을 적용받기 때문이다. 사고 후 8주가 지났다고 해서 치료비 지급이 자동으로 중단되는 것은 아니다. 환자가 진단서 등 필요한 자료를 제출하면 보험회사나 자동차공제조합이 자배원에 검토를 요청한다. 자배원은 전문 의료인의 판단을 거쳐 결과를 환자와 보험사 등에 통보하고, 치료 필요성이 인정되면 자동차보험으로 치료를 계속 받을 수 있다. 검토 결과에 이의가 있을 경우 공제분쟁조정분과위원회를 통해 한 차례 더 전문 의료인의 심의를 받을 수 있다. 환자가 직접 신청하거나 보험회사 등을 통해 신청하는 방식 모두 가능하다. 고속도로 모습 [사진=뉴스핌DB] 심사 대상도 모든 경상환자는 아니다. 상해등급 12~14급 가운데 척추 염좌, 팔다리 관절의 근육·힘줄 단순 염좌, 흉부 타박상, 손발가락 관절 염좌, 팔다리의 단순 타박상 등이 대상이다. 임산부와 만 7세 이하 영유아는 별도 검토 없이 치료를 계속 받을 수 있다. 환자의 비용 부담을 줄이기 위한 장치도 마련됐다. 진단서 등 검토 서류 발급 비용과 심사가 끝날 때까지의 치료비는 보험회사와 공제조합이 부담한다. 검토가 지연되더라도 해당 기간의 치료비를 환자에게 부담시키지 않는다. 자배원은 의과·한의과 전문의 약 200명을 심사위원으로 위촉해 장기치료 필요성을 판단할 계획이다. 종합병원 근무 경력 등 일정 요건을 갖춘 의료진을 중심으로 심사 인력을 구성한다. 당국은 환자가 제도를 알지 못해 필요한 절차를 놓치는 것을 막기 위해 안내 체계도 강화했다. 금융감독원은 보험 가입·갱신 단계에서 새 보상 절차를 알리고, 사고 접수 직후에 이어 치료 3~4주차와 6~7주차에도 관련 내용을 다시 안내하도록 보험사 절차를 정비했다. 정부가 8주 초과 장기치료에 별도 검토 절차를 도입한 것은 경상환자 수는 줄어든 반면 치료비는 빠르게 늘고 있다는 판단에서다. 국토부에 따르면 자동차보험 경상환자는 2019년 155만4000명에서 2024년 148만8000명으로 감소했지만 같은 기간 치료비는 1조원에서 1조4100억원으로 늘었다. 연평균 증가율은 7.0%다. 제도 효과가 실제 보험금 지급이나 손해율에 반영되기까지는 시간이 필요할 것으로 보인다. 첫 심사가 11월부터 시작되는 데다 기존 사고 환자는 이전 보상 체계를 적용받아 올해 안에는 제도 효과가 제한적으로 나타날 가능성이 크다. 보험업계 관계자는 "시행 초기에는 기존 사고 환자와 새 제도 적용 환자를 사고일 기준으로 구분해 관리해야 하는 만큼 사실상 두 개의 보상 체계가 동시에 운영된다"며 "첫 심사가 시작되는 11월 이후부터 실제 심사 건수와 치료기간 변화 등을 지켜봐야 제도 효과를 판단할 수 있을 것"이라고 말했다.   yunyun@newspim.com 2026-09-09 06:00
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메타, 개인용 AI 에이전트 '뮤즈' 공개 [뉴욕=뉴스핌] 김민정 특파원 = 메타플랫폼스가 8일(현지시간) 개인용 인공지능(AI) 에이전트 '뮤즈(Muse)'를 공개했다. 질문에 답하는 데 그치지 않고 사용자를 대신해 실제로 일을 처리하는 서비스다. 뮤즈는 이메일 발송이나 여행 예약 같은 개별 작업은 물론 장기 목표를 계획으로 바꾸는 작업까지 맡는다. 사용자가 목표를 알려주면 맞춤형 계획을 세우고 시간과 자원을 조율한 뒤 스스로 진행한다. 브라우저를 열어 양식을 채우고 사용자를 대신해 협상도 한다. 메타는 자사 최신 모델 '뮤즈 스파크'가 이 서비스를 구동한다고 밝혔다. 실제 업무를 수행하는 에이전트 작업을 위해 만든 모델이라는 설명이다. 시간이 걸리는 작업은 앱을 닫은 뒤에도 이어진다. 상황이 바뀌거나 승인이 필요할 때 다시 사용자를 찾는다. 이메일을 보내거나 결제를 하기 전이 그런 경우다. 메타는 사용 사례로 차를 더 비싸게 파는 일과 요금을 낮추는 일, 일정 변화에 맞춰 운동 계획을 조정하는 일 등을 들었다. 결제는 스트라이프가 만든 링크(Link)로 할 수 있다. 뮤즈는 링크의 구매 보호를 적용받는 첫 AI 에이전트다. 파손이나 분실, 가격 하락, 무료 반품 등이 대상이다. 링크의 에이전트용 지갑은 일회용 카드를 만들어내 실제 카드 정보가 노출되지 않도록 한다. 쇼피파이의 간편결제 숍페이도 결제 수단으로 추가된다. 비밀번호 관리 서비스 1패스워드와도 연동해 이용자가 이미 쓰고 있는 로그인 정보를 뮤즈가 활용할 수 있게 할 계획이다. 뮤즈 구동 화면.[사진=메타플랫폼스]  2026.09.09 mj72284@newspim.com 메타는 뮤즈의 보안 구조를 강조했다. 뮤즈는 '뮤즈 시큐어 VM'이라는 전용 가상머신에서 돌아간다. 클라우드에 있는 독립된 컴퓨터로, 다른 사용자의 에이전트가 접근할 수 없도록 분리돼 있다. 사용자가 연결한 서비스의 데이터와 인증 정보도 이곳에 저장된다. 같은 장치 안에는 '센티널'이라는 별도 감시 에이전트가 시스템 수준에서 분리돼 작동한다. 센티널이 승인하지 않으면 뮤즈가 하는 어떤 작업도 인터넷에 닿지 않는다. 필요할 때는 사용자에게 허락을 구한다. 뮤즈는 사용자의 비밀번호와 결제 수단을 볼 수 없다. 사용자가 제공한 인증 정보는 보안 저장소에 들어가며, 뮤즈는 내용을 보지 않고 사용만 한다. 사용자가 브라우저에 직접 입력한 비밀번호도 마찬가지다. 이메일 발송이나 구매처럼 민감한 작업 전에는 반드시 사용자에게 확인을 받는다. 수행한 작업과 계획 중인 작업의 전체 기록도 보여준다. 연결할 앱과 권한 범위는 사용자가 정한다. 이메일이라면 읽기만 허용할지 대신 보내는 것까지 허용할지 고를 수 있다. 권한 변경이나 연결 해제도 언제든 가능하다. 메타는 사용자가 자사 AI 모델 학습에 대화 내용을 쓰지 않도록 거부할 수 있으며, 뮤즈의 대화나 가상머신 안의 데이터를 광고 시스템과 공유하지 않는다고 밝혔다. 기억한 내용도 사용자가 잊으라고 지시할 수 있다. 메타는 올해 안에 '뮤즈 컨피덴셜 VM'을 내놓을 계획이다. 가상머신 전체를 사용자만 가진 열쇠로 암호화해 메타조차 접근할 수 없도록 하는 방식이다. 뮤즈는 미국에서 iOS와 안드로이드, 웹사이트(muse.ai)를 통해 순차 공개된다. AI 스마트 글래스에도 곧 적용된다. 대부분의 기능은 무료이며 더 많은 작업을 원하는 사용자를 위한 구독제도 마련됐다.   mj72284@newspim.com 2026-09-09 04:21
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