Competition and the pass-through of unconventional monetary policy: evidence from TLTROs

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Competition and the pass-through of unconventional monetary policy: evidence from TLTROs M. Benetton 1 D. Fantino 2 1 London School of Economics and Political Science 2 Bank of Italy Boston Policy Workshop, 07/09/2017 Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 1 / 25

Outline 1 Introduction Introduction Aim of the paper Previous literature 2 Institutional setting of TLTROs 3 Empirical strategy Data Empirical model 4 Results Effects of targeted monetary policy Competition and transmission mechanism Heterogeneous effects 5 Conclusions Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 2 / 25

Introduction During financial crisis, central banks implemented unprecedented measures to avoid perturbations in monetary policy transmission mechanism. Eurosystem implemented, among other measures: fixed-rate full-allotment mode for refinancing operations since 2008; Longer Term Refinancing Operations (LTROs) in 2009-2012; Targeted Longer Term Refinancing Operations (TLTROs) in 2014-currently. Aims: providing a certain source of funding to banks; reducing rollover risk coming from mismatch in duration of assets and liabilities; sustaining lending to real economy (TLTROs). Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 3 / 25

Aim of the paper To evaluate impact of 1st and 2nd TLTRO on pass-through to credit interest rates charged to Italian firms. Transaction level (bank-firm) term loans data. Difference-in-differences model. Role of local level bank competition. Province level Herfindal indexes. Heterogeneity of effects: firm characteristics. Size and credit rating. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 4 / 25

Previous literature: transmission mechanism to loan prices Theoretical models with active financial sector (Adrian and Song Shin (2010), Gertler and Kiyotaki (2010), Brunnermeyer and Sannikov (2014)); DSGE models (Gerali et al. (2010), Gertler and Karadi (2011)); empirical models controlling for unobservable demand factors (Khwaja and Mian (2008), Schnabl (2012), Gambacorta and Mistrulli (2014), Albertazzi et al. (2014), Jiménez et al. (2012, 2014)); empirical applications to unconventional monetary policy (Drechsler et al. (2016), Acharya et al. (2015), Carpinelli and Crosignani (2015), García-Posada and Marchetti (2015)). Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 5 / 25

Previous literature: competition and monetary policy Industrial organization approach to the banking sector (Freixas and Rochet (2008), Rochet (2009)); competition and pass-through of shocks (Berger and Hannan (1989), Neumark and Sharper (1992), De Graeve et al. (2007)); relation between competition and monetary policy (Scharfstein and Sunderam (2014), Drechsler et al. (2016b)); lending relationship for access to credit and its local nature (Berger and Udell (1995), De Mitri et al. (2010), Bolton et al. (2013), Guiso et al. (2004), Paravisini (2008)). Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 6 / 25

Institutional setting of TLTROs Eight operations, announced on June 5th 2014, one each quarter since September 2014; further four operations, announced in March 2016, started in the following June. Explicitly targeting lending to real economy. May participate individual banks or groups. Collateral rules same as for standard operations. Interest rate same as MRO, +10 b.p. in 1st and 2nd operation. Paid back in September 2018, but there are prepayment options and mandatory repayment rule. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 7 / 25

Institutional setting of TLTROs Borrowing limit for together 1st and 2nd TLTRO: q b 1 + qb 2 0.07 OLb April2014. Bank cannot borrow more than 7% of its outstanding amount of eligible loans to NFCs and HH on April 30th 2014. Eligible loans exclude loans to households for house purchases, to emphasize channelling into productive investments. Borrowing limit for other TLTROs depends on net lending since May 2014 up to two months before operation (endogenous). Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 8 / 25

Data Four main sources of data: Italian Credit register, individual monthly data on borrowers with exposure >30000 euros from Italian intermediaries; we use interest rates on term loans; Supervisory reports from Bank of Italy; quarterly data about banking group structure, distribution of branches, balance sheets; Italian firms annual balance sheets from Cerved: geographical location, credit rating, size, economic sector of activity of firms; confidential data about participation and amounts lent to Italian banking groups after each TLTRO. Final dataset: quarterly balanced panel of banking group-firm relationships between 2014q1 and 2015q2. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 9 / 25

Data: Descriptive statistics Obs Mean Std. Dev. Min Median Max Panel A: Transaction level variables (term loans; 1st quarter 2014-2nd quarter 2015) Interest rate including expenditures (stocks; %) 671951 4.06 1.96 0.49 3.85 12.10 Interest rate without expenditures (stocks; %) 671951 4.05 1.95 0.49 3.85 11.83 Interest rate including expenditures (flows; %) 58098 4.85 2.30 0.50 4.56 14.31 Panel B: Herfindal indexes (credit amount; 1st quarter 2014) Province level 103 0.17 0.06 0.09 0.16 0.36 Province and sector level 2873 0.33 0.21 0.06 0.27 1.00 Province and rating level (rating 1-6) 103 0.17 0.06 0.08 0.16 0.36 Province and rating level (rating 7-9) 103 0.18 0.08 0.09 0.16 0.48 Panel C: I-II TLTRO variables Amount borrowed (million euros) 78 670.0 1843 5 85.72 12500 Log of amount borrowed 78 18.79 1.54 15.42 18.27 23.25 Additional amount borrowed (million euros) 43 542.7 1167 5 123 5495 Log of additional amount borrowed 43 18.83 1.55 15.42 18.63 22.43 Borrowing limit (million euros) 104 560.3 1635 16.11 83.49 12500 Log of borrowing limit 104 18.49 2.32 16.59 18.24 23.25 Panel D: Banking group variables (1st quarter 2014) Assets (million euros) 104 30188.97 101274.05 458.14 2973.13 777911.50 Loans over assets ratio (%) 104 54.07 11.64 8.21 55.75 74.86 Bad loans over loans ratio (%) 104 9.33 5.44 0.09 8.75 27.57 Government bonds over assets ratio (%) 104 18.26 8.86 1.09 18.25 43.30 Capital ratio (%) 104 15.48 9.24 0.25 13.86 94.89 Panel E: Firm variables (2013) Assets (thousand euros; by firm) 73174 3954 30079 1 589 2548199 Assets (thousand euros; by relationship) 113246 7240 40646 1 949 2548199 Percentage distribution Classes: 1-6 7-9 Credit rating (by firm) 73% 27% Credit rating (by relationship) 74% 26% Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 10 / 25

Empirical model Difference-in-differences model; two main challenges: unobserved demand and supply factors correlated with policy firm, time and banking group fixed effects; selection bias in treatment IV (borrowing limit). Interaction of policy variable with predetermined Herfindal index to isolate competition effects. Time-varying coefficients to observe dynamics. Errors clustered by firm and by banking group and time. Final equation: Y bfmt = γ f + γ t + γ b + α t TLTRO bt + β t TLTRO bt HI m + ε bfmt. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 11 / 25

Effects of targeted monetary policy OLS IV TLTRO (1) (2) (3) (4) specification: Dummy Log Dummy Log TLTRO x t=2014q4 0.024 0.001-0.049-0.0018 (0.034) (0.0016) (0.13) (0.0043) t=2015q1-0.011-0.0011-0.39** -0.014** (0.039) (0.0019) (0.17) (0.0056) t=2015q2-0.02-0.0014-0.36* -0.013** (0.044) (0.0021) (0.2) (0.0066) N 655146 655146 655146 655146 R2 0.73 0.73 0.73 0.73 Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 12 / 25

Effects of targeted monetary policy Two specifications: one using participation dummy, one using log of additional borrowed amount by bank in the 1st and 2nd TLTRO. OLS results not significant. IV results show that policy reduced credit rates charged by treated banks between 25 and 40 basis points. Effect begins one period after second round of policy, in 2015q1. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 13 / 25

Competition and transmission mechanism HI credit HI sector TLTRO (1) (2) (3) (4) specification: Dummy Log Dummy Log TLTRO x t=2014q4-0.13-0.0054-0.082-0.0033 (0.15) (0.0052) (0.13) (0.0043) t=2015q1-0.44** -0.017*** -0.44** -0.016*** (0.18) (0.0057) (0.17) (0.0056) t=2015q2-0.48** -0.018*** -0.42** -0.016** (0.19) (0.0062) (0.2) (0.0068) TLTRO x HI x t=2014q4 0.49 0.023 0.15*** 0.0070*** (0.31) (0.014) (0.047) (0.0021) t=2015q1 0.32 0.014 0.20*** 0.0094*** (0.26) (0.012) (0.053) (0.0022) t=2015q2 0.70** 0.033** 0.28*** 0.013*** (0.29) (0.013) (0.055) (0.0026) N 655146 655146 655146 655146 R2 0.73 0.73 0.73 0.73 Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 14 / 25

Competition and transmission mechanism Two versions of Herfindal index, with different market boundaries: province or province-sector. Average effects of policy to interest rates of treated banks are substantially same as in table without HI. Indirect effect of competition one quarter after direct effect of policy, probably due to adjustments following reactions of other competitors. One standard deviation increase in concentration reduces effect of policy by: 4 basis points (11%-16% of overall effect) when segmenting by province; 5-6 basis points (18%-23% of overall effect) when segmenting by both province and sector. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 15 / 25

Robustness checks Results robust to several robustness checks: banking group time-varying characteristics and participation to following TLTROs (3rd-4th); stronger fixed effects structure: by banking group and by firm and time (jointly); raw TLTRO borrowed amount instead of additional ones; interest rates excluding expenditures; credit flows instead of credit stocks. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 16 / 25

Heterogeneous effects Credit rating Firm size Best Worst Small Big TLTRO (1) (2) (3) (4) (5) (6) (7) (8) specification: Dummy Log Dummy Log Dummy Log Dummy Log TLTRO x t=2014q4-0.19-0.0079 0.045 0.0016-0.13-0.0056-0.13-0.0054 (0.16) (0.0057) (0.12) (0.0042) (0.16) (0.0055) (0.14) (0.0049) t=2015q1-0.48*** -0.018*** -0.31* -0.011** -0.58*** -0.022*** -0.36** -0.013** (0.18) (0.0061) (0.17) (0.0053) (0.20) (0.0065) (0.16) (0.0054) t=2015q2-0.56*** -0.022*** -0.23-0.0081-0.58*** -0.022*** -0.40** -0.016*** (0.20) (0.0066) (0.18) (0.0059) (0.21) (0.0070) (0.17) (0.0057) TLTRO x HI x t=2014q4 0.68** 0.031** 0.016 0.0009 0.50 0.023 0.50 0.023 (0.34) (0.015) (0.23) (0.011) (0.35) (0.016) (0.31) (0.014) t=2015q1 0.51* 0.024* -0.17-0.0091 0.53* 0.023* 0.21 0.010 (0.28) (0.013) (0.23) (0.010) (0.31) (0.014) (0.31) (0.014) t=2015q2 1.01*** 0.047*** -0.057-0.0033 0.94*** 0.042*** 0.57* 0.027** (0.32) (0.014) (0.23) (0.011) (0.34) (0.015) (0.31) (0.014) N 489780 489780 164532 164532 265524 265524 388788 388788 R2 0.72 0.72 0.74 0.74 0.79 0.79 0.66 0.66 Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 17 / 25

Heterogeneous effects Sample split according to firm characteristics: credit quality (Cerved index in 9 classes) and size (assets). Credit quality: best and average firms (classes 1-6) against worst ones (7-9): stronger overall effect for best and average firms; no competition effect for worst ones; same results also splitting best and average firms. Size: above against below median in distribution of assets of firm: stronger overall and competition effect for smaller firms. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 18 / 25

Conclusions Study of effectiveness of 1st and 2nd TLTRO and role of competition. Policy reduced credit rates of treated banks between 25 and 40 basis points. Effect begins one period after second round of policy, in 2015Q1. One standard deviation increase in concentration reduces effect of policy by about 4-6 basis points (about 15%-20% of overall effect). Stronger effects for smaller and high/medium credit quality firms. Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 19 / 25

Thanks for your attention! Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 20 / 25

Additional slides Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 21 / 25

Geographical distribution of Herfindal indexes (.267,.365] (.213,.267] (.185,.213] (.171,.185] (.157,.171] (.148,.157] (.14,.148] (.13,.14] (.111,.13] [.088,.111] Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 22 / 25

Descriptive statistics for treated and controls Treated Controls Obs Mean Std. Dev. Obs Mean Std. Dev. Panel A: Transaction level variables (1st-3rd quarter 2014) Interest rate including expenditures (%) 220776 4.23 2.04 115046 4.14 1.84 Interest rate without expenditures (%) 220776 4.22 2.03 115046 4.12 1.82 Interest rate including expenditures (flows; %) 21243 5.21 2.27 7806 4.74 2.16 Panel B: I-II TLTRO variables Borrowing limit (million euros) 43 841.7 2238 61 359 979.1 Log of max allowance 43 19.04 1.55 61 18.10 2.69 Panel C: Banking group variables (1st quarter 2014) Assets (million euros) 43 47875 145614 61 17722 48809 Loans over assets ratio (%) 43 53.20 10.25 61 54.68 12.58 Bad loans over loans ratio (%) 43 7.85 2.65 61 10.38 6.57 Government bonds over assets ratio (%) 43 17.93 7.79 61 18.50 9.60 Capital ratio (%) 43 16.75 12.68 61 14.58 5.64 Panel D: Firm variables; by relationship (2013) Assets (thousand euros) 74372 6754 38140 38874 8168 45039 Percentage distribution Treated Controls Classes: 1-6 7-9 1-6 7-9 Credit rating 75% 25% 72% 28% Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 23 / 25

Robustness checks: methodology With bank controls Firm-time fixed effects No correction for additionality TLTRO (1) (2) (3) (4) (5) (6) specification: Dummy Log Dummy Log Dummy Log TLTRO x t=2014q4-0.034-0.0022-0.48* -0.017* -0.16-0.005 (0.12) (0.0042) (0.25) (0.009) (0.17) (0.0042) t=2015q1-0.53*** -0.020*** -0.44* -0.017* -0.74*** -0.019*** (0.18) (0.0053) (0.24) (0.0087) (0.19) (0.0044) t=2015q2-0.35*** -0.014*** -0.50** -0.019** -0.74*** -0.020*** (0.11) (0.0037) (0.24) (0.0086) (0.22) (0.0053) TLTRO x HI x t=2014q4 0.39 0.019 3.74** 0.13** 0.33 0.016 (0.32) (0.015) (1.88) (0.065) (0.26) (0.011) t=2015q1 0.23 0.01 1.49 0.059 0.039 0.0066 (0.29) (0.012) (1.77) (0.063) (0.2) (0.008) t=2015q2 0.58** 0.027** 1.87 0.073 0.33 0.020* (0.28) (0.013) (1.93) (0.068) (0.27) (0.011) Group, firm, time f.e. Yes Yes No No Yes Yes Group, firm-time f.e. No No Yes Yes No No N 655146 655146 354672 354672 655146 655146 R2 0.73 0.73 0.6 0.6 0.73 0.73 Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 24 / 25

Robustness checks: other rates Net of expenditures Credit flows TLTRO (1) (2) (3) (4) specification Dummy Log Dummy Log TLTRO x t=2014q4-0.13-0.0054-0.48*** -0.017*** (0.15) (0.0052) (0.16) (0.0045) t=2015q1-0.44** -0.017*** -0.75*** -0.026*** (0.18) (0.0057) (0.22) (0.0063) t=2015q2-0.48** -0.018*** -0.87*** -0.031*** (0.19) (0.0062) (0.25) (0.0068) TLTRO x HI x t=2014q4 0.49 0.023 0.21 0.010 (0.31) (0.014) (0.21) (0.0093) t=2015q1 0.32 0.015 0.38 0.017 (0.27) (0.012) (0.27) (0.013) t=2015q2 0.72** 0.033** 0.65** 0.029** (0.29) (0.013) (0.27) (0.012) N 655146 655146 58092 58092 R2 0.73 0.73 0.82 0.82 Benetton & Fantino (LSE & Bank of Italy) Competition and pass-through Boston Policy Workshop 25 / 25