Tag Archives: economic cycle

Piddling Productivity

Walk around any office today and you will likely see staff on the internet or playing with their smartphones, the extent of which will depend upon the office etiquette. The rise of the networked society would intuitively imply increased productivity. Data analytics, the cloud, the ease with which items can be researched and purchased all imply a rise in efficiency and productivity. Or does it?

Productivity is about “working smarter” rather than “working harder” and it reflects our ability to produce more output by better combining inputs, owing to new ideas, technological innovations and business models. Productivity is critical to future growth. Has the rise of social media, knowing what your friends favourite type of guacamole is, made any difference to productivity? The statistics from recent years indicate the answer is no with the slowdown in productivity vexing economists with a multitude of recent opinion and papers on the topic. Stanley Fisher from the Fed stating in an interesting speech for earlier this month that “we simply do not know what will happen to productivity growth” and included the graph below in his presentation.

click to enlargeUS Average Productivity Growth 1952 to 2015

Martin Wolf in a piece in the FT on recent projections by the Office for Budget Responsibility (OBR) calls the prospects for productivity “the most important uncertainty affecting economic prospects of the British people”.

Some think the productivity statistics have misestimated growth and the impact of technology (e.g. the amount of free online services). A recent paper from earlier this month by Fed and IMF employees Byrne, Fernald and Reinsdorf concluded that “we find little evidence that the slowdown arises from growing mismeasurement of the gains from innovation in IT-related goods and services”.

The good news seems to be that productivity slumps are far from unprecedented according to a paper in September last year from Eichengreen, Park and Shin. The bad news is that the authors conclude the current slump is widespread and evident in advanced countries like the U.S. and UK as well as in emerging markets in Latin America, Southeast Europe and Central Asia including China.

A fascinating paper from December 2015 by staff at the Bank of England called “Secular drivers of the global real interest rate” covers a wide range of issues which are impacting growth, including productivity growth. I am still trying to digest much of the paper but it does highlight many of the economists’ arguments on productivity.

One of those is Robert Gordon, who has a new bestseller out called “The Rise and Fall of American Growth”. Gordon has long championed the view of a stagnation in technology advances due to structural headwinds such as an educational plateau, income inequality and public indebtedness.

click to enlargeAverage Annual Total Facor Productivity

Others argue that productivity comes in waves and new technology often takes time to be fully integrated into the production process (e.g. electricity took 20 years before the benefits showed in labour productivity).

Clearly this is an important issue and one which deserves the current level of debate. Time will tell whether we are in a slump and will remain there or whether we are at the dawn of a golden era of innovation led productivity growth…..

Munich’s Underwriting Cycle

Munich Re had a good set of results last week with a 12.5% return on equity on a profit of €3.3 billion (with the reinsurance business contributing €2.8 billion of the profit). A €1 billion share buyback was also announced contributing to the ongoing shareholder friendly actions by industry players. Munich is targeting €3 billion for 2014 but warned of challenges ahead including “the lingering low-interest-rate environment, increasing competition in reinsurance, and changes in demand from clients in primary insurance”.

Torsten Jeworrek, Munich Re’s Reinsurance CEO, cited tailor-made solutions as a strength for Munich highlighting “multi-year treaties (occasionally incorporating cross-line and cross-regional covers), retroactive reinsurance solutions, transactions for capital relief, comprehensive consultation on capital management, and the insurance of complex liability, credit and large industrial risks”.

Whilst looking through the 2013 report, I noticed historical calendar year combined ratios (COR) for the P&C business (reinsurance & primary) including and excluding catastrophes. I dug up these figures going back to 1991 as per the graph below. A small amount of adjustment was needed, particularly in relation to the 24.3% and 17.1% of deterioration for 2001 and 2002 relating to 9/11 losses (which I included as catastrophes in the CaT ratio for those years). As with a previous post on underwriting cycles, I then “normalised” the COR excluding catastrophes for the changes in interest rates using a crude discount measure based upon the US risk free rate for each calendar year plus 150 bps over 2.5 years. That may be conservative, particularly for the 1990s where equities were a bigger part of European’s asset portfolio. I then added the (undiscounted) CaT ratio to the discounted figures to give an idea of the historical underwriting cycle.

click to enlargeMunich Underwriting Cycle

The “normalised” average discounted COR (excluding CaT) since 1991 is 87% and the average over the past 10 years is 83%. The standard deviation for the series since 1991 is 6% and for the last 10 years 4% indicating a less volatile period in recent years in core ratios excluding catastrophes.

The average CaT ratio since 1991 is 7% versus 9% over the past 10 years. The standard deviation for the CaT ratio since 1991 is 8% and for the last 10 years 9% indicating a more volatile period in recent years in CaT ratios.

Adding the discounted CORs and the (undiscounted) CaT ratios, the average since 1991 and over the past 10 years is 95% and 92% respectively (with standard deviation of 11% and 9% respectively).

As Munich is the largest global reinsurer, the ratios (reinsurance & primary split approx 80%:20%) above represent a reasonable cross section of industry and give an average operating return of 5% to 8% depending upon the time period selected. Assuming a 0.5% risk free return today, that translates into a rough risk adjusted return as per the Sharpe ratio of 0.44 and 0.80 for the period to 1991 and over the past 10 years respectively. Although the analysis is crude and only considers operating results, these figures are not exactly earth-shattering (even if you think the future will be more like the last 10 years rather than the longer term averages!).

Such results perhaps explain the growing trend of hedge funds using reinsurance vehicles as “float” generators. If the return on assets over risk free is increased from the 150 bps assumed to 300 bps in the analysis above, the Sharpe ratios increase to more acceptable 0.73 and 1.13 respectively. And that ignores the tax benefits amongst other items!

As an aside, I again (as per this post) compared the underlying discounted COR (excluding catastrophes) from Munich against a credit index of global corporate defaults (by originating year as a percentage of the 1991 to 2013 average) in the graph below. As a proxy for the economic & business cycles, it illustrates an obvious connection.

click to enlargeMunich Underwriting & Credit Cycle