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Systemic Portfolio Diversification Agostino Capponi Industrial Engineering and Operations Research Columbia University joint work with Marko Weber Fourth Annual Annual Conference on money and Finance September 7, 2019 Agostino Capponi 1 /


  1. Systemic Portfolio Diversification Agostino Capponi Industrial Engineering and Operations Research Columbia University joint work with Marko Weber Fourth Annual Annual Conference on money and Finance September 7, 2019 Agostino Capponi 1 / 34

  2. Financial Interconnectedness • The classical asset allocation paradigm for an individual investor prescribes diversification across assets. • The 2007–2009 global financial crisis highlighted the dangers of an interconnected financial system. • Two main channels of financial contagion: • counterparty risk • portfolio commonality Agostino Capponi 2 / 34

  3. Price Mediated or Counterparty Contagion? • Counterparty network studies assume asset prices fixed at their book values: balance sheets only take hits at default events. • Adrian and Shin (2008): If the domino model of financial contagion is the relevant one for our world, then defaults on subprime mortgages would have had limited impact. • Empirical evidence suggests that financial institutions react to asset price changes by actively managing their balance sheets. • Price mediated propagation : forced sales of illiquid assets may depress prices, and prompt financial distress at other banks with similar holdings. • Greenwood, Landier and Thesmar (2015): measure of the vulnerability of a system of leverage-targeting banks. Overlapping portfolios and fire sale spillovers exacerbate banks’ losses. Agostino Capponi 3 / 34

  4. Research Question • How do institutions ex ante structure their balance sheets when they account for the systemic impact of other large institutions? Systemic risk triggered by fire-sales: • Market events drive large negative price movements • Excessive correlation due to common holdings may be destabilizing • Benefits of diversification may be lost when most needed. • Financial institutions close out positions in response to price drops. • Sell-offs affect several institutions simultaneously and exacerbate liquidation costs. • Should we be concerned about a different (systemic) kind of diversification? Agostino Capponi 4 / 34

  5. Building Blocks Financial Constraints • A financial institution is forced to liquidate assets on a short notice to raise immediacy (margin calls, mutual funds’ redemptions, regulatory capital requirements...). Price Impact • Sell-offs have a knock-down effect on prices. Agostino Capponi 5 / 34

  6. The Model • One period timeline • Economy with N banks and K assets • Initial asset prices normalized to 1 $ • Bank i ’s balance sheet: d i debt, e i equity, w i := d i + e i asset value, λ i := d i / e i leverage ratio, π i , k weight of asset k in bank i ’s portfolio Agostino Capponi 6 / 34

  7. The Model • Suppose each asset k is subject to a return shock Z k • Let Z = ( Z 1 , . . . , Z K ) be the vector of return shocks • Bank i ’s return is R i := π i · Z = � k π i , k Z k Assumption 1 Leverage threshold : Bank i liquidates assets if its leverage threshold λ M , i is breached. • Bank i liquidates the minimum amount necessary to restore its leverage at the threshold: λ M , i w i ( R i + ℓ i ) − , λ M , i − λ i where ℓ i := ( 1 + λ i ) λ M , i is the distance to liquidation . Agostino Capponi 7 / 34

  8. The Model Assumption 2 Exposures remain (roughly) fixed : Banks liquidate (or purchase) assets proportionally to their initial allocations. • After being hit by te market shock Z , bank i trades an amount λ M , i w i ( R i + ℓ i ) − π i , k of asset k . Assumption 3 Linear Price Impact : The cost of fire sales, i.e., the execution price, is linear in quantities. • An aggregate trade q k of asset k is executed at the price 1 + γ k q k per asset share. Agostino Capponi 8 / 34

  9. The Model • Market shocks Z k are i.i.d. random variables. • All assets have the same returns • Control variables : banks choose their asset allocation weights π i . • Objective function : banks maximize expected portfolio returns. Model Parameters • w : size of the banks • ℓ : riskiness of the banks • γ : illiquidity of the assets Agostino Capponi 9 / 34

  10. Model Limitations • We ignore the possibility of default. • If R i ≤ − 1 λ i , the bank’s equity is negative. • We assume only one round of deleveraging. • Due to price impact, banks may engage in several rounds of deleveraging (Capponi and Larsson (2015)). Agostino Capponi 10 / 34

  11. Equilibrium Asset Holdings Each bank maximizes an objective function given by its expected portfolio return, i.e., PR i ( π i , π − i ) := E [ π T i Z − cost i ( π i , π − i , Z )] . Total liquidation costs of bank i : � N � λ M , i w i ( π i · Z + ℓ i ) − π T � π j λ M , j w j ( π j · Z + ℓ j ) − cost i ( π i , π − i ) := E Diag [ γ ] . i j = 1 � �� � � �� � assets liquidated by bank i total quantities traded Agostino Capponi 11 / 34

  12. Equilibrium Asset Holdings Nash equilibrium Let X := { x ∈ [ 0 , 1 ] K : � K k = 1 x k = 1 } be the set of admissible strategies. A (pure strategy) Nash equilibrium is a strategy { π ∗ i } 1 ≤ i ≤ N ⊂ X such that for every 1 ≤ i ≤ N we have PR i ( π ∗ i , π ∗ − i ) ≥ PR i ( π i , π ∗ − i ) for all π i ∈ X . Because assets’ returns are identically distributed, the optimization problem of bank i is equivalent to minimizing cost i ( π ∗ i , π ∗ − i ) . Agostino Capponi 12 / 34

  13. Potential Game • Assume N = 2, K = 2. • Best response strategy of bank 1 is � 1 ( π 1 · Z + ℓ 1 ) 2 ( π 2 � � λ 2 w 2 1 , 1 γ 1 + ( 1 − π 1 , 1 ) 2 γ 2 ) 1 L 1 π ∗ 1 , 1 = argmin π 1 , 1 M , 1 E + � λ M , 1 λ M , 2 E w 1 w 2 ( π 1 · Z + ℓ 1 ) ( π 2 · Z + ℓ 2 ) ( π 1 , 1 π 1 , 2 γ 1 + ( 1 − π 1 , 1 )( 1 − π 1 , 2 ) γ 2 ) 1 � �� 2 ( π 2 · Z + ℓ 2 ) 2 ( π 2 � · · · + λ 2 w 2 2 , 1 γ 1 + ( 1 − π 2 , 1 ) 2 γ 2 ) 1 L 2 = argmin π 1 , 1 M , 2 E . Both banks minimize the same function! Agostino Capponi 13 / 34

  14. Existence and Uniqueness Theorem Assume Z k has a continuous probability density function. Then there exists a Nash equilibrium. Agostino Capponi 14 / 34

  15. Single Bank Benchmark • Consider the portfolio held by a bank when it disregards the impact of other banks. • Bank seeks diversification to reduce likelihood of liquidation. • Bank seeks a larger position in the more liquid asset to reduce realized liquidation costs. Proposition Let N = 1 , K = 2 , and γ 1 < γ 2 . Then • π S 1 , 1 ∈ ( 1 γ 1 + γ 2 ) , where ( π S γ 2 1 , 1 , 1 − π S 2 , 1 , 1 ) minimizes the bank’s expected liquidation costs. • π S 1 , 1 ( ℓ ) is decreasing in ℓ . Agostino Capponi 15 / 34

  16. Identical Assets/Banks • If there is no heterogeneity in the system (across assets or across agents), then in equilibrium all banks hold the same portfolio. • In the presence of other identical banks, assets become more “expensive”, but the banks’ relative preferences do not change. • The system behaves as a single representative bank. Proposition • If γ 1 = γ 2 , then π i , 1 = 50 % for all i. • Let ¯ π be the optimal allocation in asset 1 of a bank with distance to liquidation ¯ ℓ , when N = 1 . If ℓ i = ¯ ℓ for all i, then π i , 1 = ¯ π for all i. Agostino Capponi 16 / 34

  17. Introducing Heterogeneity Proposition Assume N = 2 , γ 1 < γ 2 and ℓ 1 > ℓ 2 . • | π ∗ 1 , 1 − π ∗ 2 , 1 | > | π S 1 , 1 − π S 2 , 1 | , where π S i , 1 is the bank i’s optimal asset 1 allocation in the single agent case. • Let f i be the best response function of bank i , i = 1 , 2. • Let π 0 1 , 1 be the optimal allocation of bank 1, if bank 2 has the same leverage ratio. 1 , 1 := f 1 ( π n − 1 2 , 1 := f 2 ( π n − 1 • Recursively, π n 2 , 1 ) , π n 1 , 1 ) • banks are more and more diverse , until an equilibrium is reached. 1 0 0 1 0 π 1,1 π 1,1 π 2,1 π 2,1 1 Agostino Capponi 17 / 34

  18. Comparative Statics Π i,1 80 � 70 � 60 � Γ 2 � Γ 1 2 4 6 8 10 Increasing heterogeneity across assets. Agostino Capponi 18 / 34

  19. Social Costs • Are banks behaving as a benevolent social planner would like? • If not, what are the social costs of this mechanism? Agostino Capponi 19 / 34

  20. Social Planner • Minimizes objective function: TC ( π 1 , · · · , π N ) := � N i = 1 cost i ( π i , π − 1 ) . Proposition ℓ for all i, the minimizer π SP of TC is the unique Nash equilibrium. • If ℓ i = ¯ • Assume N = 2 . If ℓ 1 � = ℓ 2 , then π SP is not a Nash equilibrium. In particular, | π SP 1 , 1 − π SP 2 , 1 | > | π ∗ 1 , 1 − π ∗ 2 , 1 | . • In equilibrium, banks are not diverse enough! • Each bank accounts for the price-impact of other banks on its execution costs, but neglects the externalities it imposes on the other banks. Agostino Capponi 20 / 34

  21. Social Planner Π i,1 80 � 70 � 60 � Γ 2 � Γ 1 2 4 6 8 10 Agostino Capponi 21 / 34

  22. Tax Systemic Risk Proposition If each bank i pays a tax equal to � T i ( π ) := M i , j ( π ) , j � = i � � ( R i + ℓ i ) − ( R j + ℓ j ) − π T where M i , j ( π i , π j ) := λ M , i λ M , j w i w j E i Diag [ γ ] π j , then the equilibrium allocation is equal to the social planner’s optimum. • M i , j ( π i , π j ) are the externalities that bank i imposes on bank j . • By internalizing these externalities, the objectives of the banks align with the social planner’s objective. Agostino Capponi 22 / 34

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