One of the lessons of the 2008 global financial crisis was that financial conditions can have a significant impact on the economy. We also learnt that changes in central banks’ official interest rates are not always sufficient to capture all the interactions between the financial system and the real economy. Variables such as credit growth, financial market volatility and spreads between various assets in different risk classes are also components of the prevailing financial conditions and affect the behaviour of consumption, savings and investment. It is this world of financial conditions as a whole that ultimately influences the performance of the real economy. Indeed, the ECB itself acknowledges this in describing financial conditions as the «compass that guides monetary policy».1 Therefore, if we want to get a better understanding of monetary policy decision-making, we must pay close attention to changes in financial conditions. To do this, there is an important initial step: knowing how to measure them.
- 1. See P. Lane The compass of monetary policy: favourable financing conditions. Speech of 25 February 2021.
The CaixaBank Research financial conditions index for the euro area in times of pandemic
With the aim of «taking the temperature» of the financial environment which determines macroeconomic performance and thus the ECB’s decisions, we have created an index that measures a wide range of financial conditions (see table).2 In the first chart we can see the evolution of this index by component since 2004. An important first message emerges from the chart: the tightening of financial conditions at the height of the COVID-19 pandemic was significant, but less than that observed during the 2008 financial crisis or the euro area sovereign debt crisis of 2012. Despite the intensity of the COVID-19 crisis, it is very different in nature to those that preceded it: the source of the crisis is not financial, the economy was in a reasonably good state to begin with and the drop in economic activity is temporary. Moreover, all spheres of economic policy have acted quickly and decisively to protect the productive fabric of the economy.
- 2. The index is generated based on the variance matrix for the variables listed in the table using principal component analysis methodology. The index is normalised and values higher (lower) than 0 indicate tighter (looser) financial conditions than the historical average.
If we focus on the evolution of the index since early 2020, we see that most of the financial stress in the spring of 2020 comes from the equity market, with a surge in volatility and stock prices in free fall. Remember that European stock markets fell by as much as 14% in a single day, while the Eurostoxx 600 plummeted by 44% between the peak of Q1 2020 and its lowest point. Other markets were stressed to a lesser extent, perhaps because many of them (the money market and the sovereign fixed-income market) were already relatively anchored by the accommodative measures that the ECB had been implementing for years. Nevertheless, they were still stressed to some degree, with a tightening in almost all segments of the index, and the situation did not begin to improve until the ECB took exceptional measures3 and fiscal policy announced the launch of a strong safety net.4
- 3. Boosting asset purchases under the APP, the creation of the PEPP to acquire assets of up to 1,850 million euros, and increased liquidity through TLTROs, among others. For more details, see the Central Bank Observatory.
- 4. Tax deferrals, guarantees for businesses, and temporary workforce reduction schemes. Also, at the EU level, the Next Generation EU programme was approved with some 750 billion euros in aid and loans.
Preserving favourable financial conditions for the recovery
Fast forward to 2021, with the pandemic somewhat more under control and the vaccination roll-out well under way, global economic activity is expected to pick up, albeit unevenly. Whilst the US will reach its pre-pandemic levels of economic activity in the coming months, Europe is expected to experience a more gradual recovery. This buoyancy in the US economy has translated into an elevation of the long section of the sovereign yield curve,5 which the Fed has tolerated since it is in response to an improvement in the economic outlook. However, given the global nature of the financial markets, this rally could drag the euro area’s financial conditions into territory that would be unfavourable for the economic recovery. For this reason, at its latest meetings the ECB decided to «significantly» accelerate the rate of purchases under the PEPP, at least during Q2 2021, in order to «prevent a tightening of financial conditions».
- 5. For more details, see the Focus «New fiscal package in the US: overheating in sight?» in the MR04/2021.
However, our index does not reflect a tightening of the euro area’s financial conditions. In the last chart we can see that both the index and the fixed-income sub-component were relatively impervious to the rally in euro area sovereign yields. On the one hand, short-term interest rates and sovereign risk premiums have remained stable since the beginning of the year, so they have not contributed to a tightening of financial conditions. In addition, the CaixaBank Research Financial Conditions Index suggests that these are particularly sensitive to corporate fixed-income markets, interbank rates and stock market volatility, while fluctuations in the bund have less of an impact (see appendix). These segments, unlike Germany’s sovereign rates, have not accompanied the tightening of US interest rates. For this reason, perhaps it should come as no surprise that the increase in the pace of purchases under the PEPP in Q2 has been smaller than some analysts expected.
Appendix. Technical note
Economists and market analysts have used different methodologies to summarise a range of financial variables in an index which acts as a «thermometer» for the financial markets and generates alerts for economic policymakers.
There are several valid ways to calculate financial conditions indices. In this document, we present a new index for the euro area covering the period 2004-2021. Some of its main advantages over other indices are as follows: (i) it is based on a comprehensive set of data, (ii) it allows the contribution of each of its components to be identified, and (iii) it has a high frequency (daily or monthly) and provides real-time information.
Principal component analysis (PCA) methodology is used to calculate the index, which allows the co-movement of a wide range of financial variables to be separated out. Our financial conditions index corresponds to the first principal component (PC) that is obtained with all the variables selected. To ensure that the PCs drawn out of the analysis are not skewed by the units of measure and the relative magnitude of the individual series, all variables are standardised with a mean of 0 and a standard deviation equal to 1. Thus, the index has a mean of 0 and its values are interpreted as deviations from the historical average of financial conditions. When the index has a positive value, financial conditions are tighter than the historical average, and vice versa. Finally, the index is adjusted by isolating the component of financial conditions that has no correlation with economic conditions. This is done by calculating the index using the composite PMI and then excluding it by assigning it a weight of 0.
The variables selected in our index are well supported in academic literature. The first chart in this appendix shows the relative weights of each component within the index. For instance, an increase in corporate credit spreads, sovereign risk premiums or stock market volatility is associated with a tightening of the financial conditions index. In contrast, greater credit growth and a rise in stock prices are associated with a loosening of financial conditions. In the case of the variable related to monetary policy (Germany’s short-term sovereign interest rate), the sign is negative (an increase in rates is associated with a loosening of financial conditions). While this result may seem counter-intuitive, it is consistent with that obtained by Angelopoulou et al. (2014)6 and reflects the co-movement between this interest rate and the other variables in the sample period 2004-2021.
As an example, in periods marked by an improvement in the economic outlook, short-term interest rates may increase with expectations of higher official interest rates. However, what the PCs detect is that this movement may potentially coexist with widespread stock market gains and more relaxed financial conditions.
- 6. E. Angelopoulou, H. Balfoussia and H.D. Gibson (2014). «Building a financial conditions index for the euro area and selected euro area countries: what does it tell us about the crisis?». Economic Modelling, 2014, vol. 38, C, 392-403.
The last chart compares the index itself with two benchmark alternatives: those produced by Bloomberg and Goldman Sachs. All three follow a very similar pattern and successfully capture both global financial events and those specific to the euro area. Consistent with the economic literature,7 there is an apparent asymmetry between the index’s peaks and troughs: periods of financial stress appear more pronounced than times in which relaxed financial conditions prevail.
During the period analysed, three peaks of stress in financial conditions are identified. The first occurs during 2008-2009 the financial crisis, following the collapse of Bear Sterns in early 2008 and particularly after Lehman Brothers declared bankruptcy in September of the same year. The second peak occurs in mid-2011 with the Greek debt crisis and Portugal’s financial bailout agreed between the EU, the ECB and the IMF. Finally, there is another, less pronounced period of stress as a result of the COVID-19 crisis in 2020, which has been quickly offset by the ECB’s decisive and unconventional monetary policy measures, as well as by a wide array of fiscal measures.
- 7. See J. Hansen (2006). «A Risk Index for Euro-Denominated Assets». Danmarks Nationalbank Working Papers nº 36.