Category Archives: market efficiency

15/6/18: Italian High Yield Bonds and Markets Exuberance


Nothing illustrates the state of asset valuations today better than the junk bonds tale from Italy. Here is a prime example from the Fitch ratings note from June 7:

"...longstanding Italian HY issuer and mobile operator WindTre sequentially refinanced crisis-era unsecured notes at 12% coupons into 3% area coupons by January 2018, despite losing cumulative revenue and EBITDA of 30% and 25%, respectively, and re-leveraging from 4x to 6x."


Give this a thought, folks:

  1. We expect rates to rise in the future on foot of ECB unwinding its QE, the Fed hiking rates and monetary conditions everywhere around the world getting 'gently' tighter;
  2. Euro is set to weaken in the longer run on foot of Fed-ECB policies mismatch;
  3. WindTre issues replacement debt, increasing its leverage risk by 50%, as its revenue falls almost by a thirds and its EBITDA falls by a quarter;
  4. WindTre operates in the market that is highly exposed to political risks and in an economy that is posting downward revisions to growth forecasts.
And the investors are piling into the company bonds, cutting the cost of debt carry for the operator from 12 percent to 3 percent. 

Per FT (https://www.ft.com/content/31c635f4-64df-11e8-a39d-4df188287fff): "Lending to corporates rose 1.2 per cent in the year to February 2018, according to the Bank of Italy, and the average interest rate on new loans was 1.5 per cent — a historic low."



Say big, collective "Thanks!" to the folks at ECB, who worked hard to bring us this gem of a market, so skewed out of reality, one wonders what it will take for markets regulators to see build up of systemic risks.

10/1/16: Tsallis Entropy: Do the Market Size and Liquidity Matter?


Updated version of our paper:
Gurdgiev, Constantin and Harte, Gerard, Tsallis Entropy: Do the Market Size and Liquidity Matter? (January 10, 2016), is now available at SSRN: http://ssrn.com/abstract=2507977.


Abstract:      
One of the key assumptions in financial markets analysis is that of normally distributed returns and market efficiency. Both of these assumptions have been extensively challenged in the literature. In the present paper, we examine returns for a number of FTSE 100 and AIM stocks and indices based on maximising the Tsallis entropy. This framework allows us to show how the distributions evolve and scale over time. Classical theory dictates that if markets are efficient then the time variant parameter of the Tsallis distribution should scale with a power equal to 1, or normal diffusion. We find that for the majority of securities and indices examined, the Tsallis time variant parameter is scaled with super diffusion of greater than 1. We further evaluated the fractal dimensions and Hurst exponents and found that a fractal relationship exists between main equity indices and their components.