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| {{distinguish|systemic risk}}
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| In [[finance]] and [[economics]], '''systematic risk''' (sometimes called aggregate risk, [[market risk]], or undiversifiable risk) is vulnerability to events which affect aggregate outcomes such as broad [[Financial market|market]] returns, total economy-wide resource holdings, or aggregate income. In many contexts, events like earthquakes and major weather catastrophes pose aggregate risks—they affect not only the distribution but also the total amount of resources. If every possible outcome of a [[stochastic]] economic process is characterized by the same aggregate result (but potentially different distributional outcomes), then the process has no aggregate risk.
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| In finance, this concept is typically referred to as "systematic risk", but in economics it is typically referred to as "aggregate risk". The two labels describe the same concept.
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| Systematic risk should not be confused with [[systemic risk]], the risk of loss from some catastrophic event with potential to collapse an entire financial system.
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| ==Properties of systematic risk==
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| Systematic or aggregate risk arises from market structure or dynamics which produce shocks or uncertainty faced by all agents in the market; such shocks could arise from government policy, international economic forces, or acts of nature. In contrast, [[Idiosyncrasy#Idiosyncrasy in economics|idiosyncratic risk]] (sometimes called [[Modern portfolio theory#Asset pricing|specific risk]], unsystematic risk, residual risk, or diversifiable risk) is risk to which only specific agents or industries are vulnerable (and is uncorrelated with broad market returns). Due to the idiosyncratic nature of unsystematic risk, it can be reduced or eliminated through [[Diversification (finance)|diversification]]; but since all market actors are vulnerable to systematic risk, it cannot be limited through diversification (but it may be insurable). As a result, assets whose expected returns are negatively correlated with broader market returns command higher prices than assets not possessing this property.
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| In some cases, aggregate risk exists due to institutional or other constraints on [[Complete market|market completeness]]. For countries or regions lacking access to broad [[Hedge (finance)|hedging markets]], events like earthquakes and adverse weather shocks can also act as costly aggregate risks. [[Robert Shiller]] has found that, despite the [[globalization]] progress of recent decades, country-level aggregate income risks are still significant and could potentially be reduced through the creation of better global hedging markets (thereby potentially becoming idiosyncratic, rather than aggregate, risks).<ref>Shiller, R. (1995). Aggregate income risks and hedging mechanisms. ''The Quarterly Review of Economics and Finance'', 35: 119–152.</ref> Specifically, Shiller advocated for the creation of macro [[Futures exchange|futures markets]]. The benefits of such a mechanism would depend on the degree to which macro conditions are correlated across countries.
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| ==Systematic risk in finance==
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| Systematic risk plays an important role in [[Asset allocation|portfolio allocation]].<ref>Maginn, J., Tuttle, D., McLeavey, D., and Pinto, J. (2007). ''Managing Investment Portfolios: A Dynamic Process''. Hoboken, New Jersey: John Wiley & Sons, Inc., p.231–245.</ref> Risk which cannot be eliminated through diversification commands returns in excess of the [[Risk-free interest rate|risk-free rate]] (while idiosyncratic risk does not command such returns since it can be diversified). Over the long run, a well-diversified portfolio provides returns which correspond with its exposure to systematic risk; investors face a trade-off between returns and systematic risk. Therefore, an investor's desired returns correspond with their desired exposure to systematic risk and corresponding asset selection. Investors can only reduce a portfolio's exposure to systematic risk by sacrificing returns.
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| An important concept for evaluating an asset's exposure to systematic risk is [[Beta (finance)|Beta]]. Since Beta indicates the degree to which an asset's expected return is correlated with broader market outcomes, it is simply an indicator of an asset's vulnerability to systematic risk. Hence, the [[capital asset pricing model|capital asset pricing model (CAPM)]] directly ties an asset's equilibrium price to its exposure to systematic risk.
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| ===A simple example===
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| Consider an investor who purchases stock in many firms from most global industries. This investor is vulnerable to systematic risk but has diversified away the effects of idiosyncratic risks on his portfolio value; further reduction in risk would require him to acquire risk-free assets with lower returns (such as [[United States Treasury security|U.S. Treasury securities]]). On the other hand, an investor who invests all of his money in one industry whose returns are typically uncorrelated with broad market outcomes (Beta close to zero) has limited his exposure to systematic risk but, due to lack of diversification, is highly vulnerable to idiosyncratic risk.
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| ==Aggregate risk in economics==
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| Aggregate risk can be generated by a variety of sources. [[Fiscal policy|Fiscal]], [[Monetary policy|monetary]], and [[Regulation|regulatory]] policy can all be sources of aggregate risk. In some cases, shocks from phenomena like weather and natural disaster can pose aggregate risks. Small economies can also be subject to aggregate risks generated by international conditions such as [[terms of trade]] shocks.
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| Aggregate risk has potentially large implications for economic growth. For example, in the presence of credit rationing, aggregate risk can cause bank failures and hinder capital accumulation.<ref>Elosegui, P.L. (2003). Aggregate risk, credit rationing, and capital accumulation. ''Quarterly Journal of Economics and Finance'', 43: 668–696.</ref> Banks may respond to increases in profitability-threatening aggregate risk by raising standards for quality and quantity [[credit rationing]] to reduce monitoring costs; but the practice of lending to small numbers of borrowers reduces the diversification of bank portfolios ([[concentration risk]]) while also denying credit to some potentially productive firms or industries. As a result, capital accumulation and the overall productivity level of the economy can decline.
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| In economic modeling, model outcomes depend heavily on the nature of risk. Modelers often incorporate aggregate risk through shocks to endowments ([[budget constraint]]s), [[productivity]], monetary policy, or external factors like terms of trade. Idiosyncratic risks can be introduced through mechanisms like individual labor productivity shocks; if agents possess the ability to trade assets and lack borrowing constraints, the welfare effects of idiosyncratic risks are minor. The welfare costs of aggregate risk, though, can be significant.
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| Under some conditions, aggregate risk can arise from the aggregation of micro shocks to individual agents. This can be the case in models with many agents and [[strategic complements|strategic complementarities]];<ref>Jovanovic, B. (1987). Micro shocks and aggregate risk. ''Quarterly Journal of Economics'', 102: 395–410.</ref> situations with such characteristics include: innovation, search and trading, production in the presence of input complementarities, and information sharing. Such situations can generate aggregate data which are empirically indistinguishable from a data-generating process with aggregate shocks.
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| ===Example: Arrow-Debreu Equilibrium=== | |
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| The following example is from Mas-Colell, Whinston, and Green (1995).<ref>Mas-Colell, A., Whinston, M., and Green, J. (1995). ''Microeconomic Theory''. New York: Oxford University Press, p.692–693.</ref> Consider a simple exchange economy with two identical agents, one (divisible) good, and two potential states of the world (which occur with some probability). Each agent has a utility function of the form <math>\pi_1*u_i(x_{1i})+\pi_2*u_i(x_{2i})</math> where <math>\pi_1</math> and <math>\pi_2</math> are the probabilities of states 1 and 2 occurring, respectively. In state 1, agent 1 is endowed with one unit of the good while agent 2 is endowed with nothing. In state 2, agent 2 is endowed with one unit of the good while agent 1 is endowed with nothing. That is, <math>\omega_1=(1,0)</math>, <math>\omega_2=(0,1)</math>. Then the aggregate endowment of this economy is one good regardless of which state is realized; that is, the economy has no aggregate risk. It can be shown that, if agents are allowed to make trades, the ratio of the price of a claim on the good in state 1 to the price of a claim on the good in state 2 is equal to the ratios of their respective probabilities of occurrence (and, hence, the marginal rates of substitution of each agent are also equal to this ratio). That is, <math>p_1/p_2=\pi_1/\pi_2</math>. If allowed to do so, agents make trades such that their consumption is equal in either state of the world.
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| Now consider an example with aggregate risk. The economy is the same as that described above except for endowments: in state 1, agent 1 is endowed two units of the good while agent 2 still receives zero units; and in state 2, agent 2 still receives one unit of the good while agent 1 receives nothing. That is, <math>\omega_1=(2,0)</math>, <math>\omega_2=(0,1)</math>. Now, if state 1 is realized, the aggregate endowment is 2 units; but if state 2 is realized, the aggregate endowment is only 1 unit; this economy is subject to aggregate risk. Agents cannot fully insure and guarantee the same consumption in either state. It can be shown that, in this case, the price ratio will be less than the ratio of probabilities of the two states: <math>p_1/p_2<\pi_1/\pi_2</math>, so <math>p_1/\pi_1<p_2/\pi_2</math>. So, for example, if the two states occur with equal probability, then <math>p_1<p_2</math>. This is the well-known finance result that the contingent claim that delivers more resources in the state of low market returns has a higher price.
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| ===Aggregate risk in heterogeneous agent models===
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| While the inclusion of aggregate risk is common in [[macroeconomic model]]s, considerable challenges arise when researchers attempt to incorporate aggregate uncertainty into models with [[heterogeneous agents]]. In this case, the entire distribution of allocational outcomes is a [[state variable]] which must be carried across periods. This gives rise to the well-known [[curse of dimensionality]]. One approach to the dilemma is to let agents ignore attributes of the aggregate distribution, justifying this assumption by referring to [[bounded rationality]]. Den Haan (2010) evaluates several algorithms which have been applied to solving the Krusell and Smith (1998) model, showing that solution accuracy can depend heavily on solution method.<ref>den Haan, W. (2010). Comparison of solutions to the incomplete markets model with aggregate uncertainty. ''Journal of Economics Dynamics and Control'', 34: 4–27.</ref><ref>Krusell, P. and Smith Jr., A. (1998). Income and wealth heterogeneity in the macroeconomy. ''Journal of Political Economy'', 106: 867–896.</ref> Researchers should carefully consider the results of accuracy tests while choosing solution methods and pay particular attention to grid selection.
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| == References ==
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| {{reflist}}
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| == See also ==
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| *[[Modern portfolio theory]]
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| *[[Capital asset pricing model]]
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| *[[Risk modeling]]
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| *[[Taleb distribution]]
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| {{Financial risk}}
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| {{DEFAULTSORT:Systematic Risk}}
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| [[Category:Financial markets]]
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| [[Category:Financial risk]]
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| [[Category:Economic systems]]
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| [[ar:مخاطر نظمية]]
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| [[fr:Risque systématique]]
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| [[ko:체계적 위험]]
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| [[ms:Risiko sistemik]]
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