Baumarine by MaruKlav Q1 2022 Performance: Another Quarter Outperforming P5TC Benchmark
Carl-Martin Graf, Head of Baumarine by MaruKlav with almost 16 years working for the pool, presents the results:
We are pleased to report that Baumarine by Maruklav ended March 2022 at +$3 226/day better than our P5TC benchmark, closing Q1 qt +$100/day above benchmark, with April’s 2022 forecast showing +$2 376/day better than benchmark.
Graf comments, “while securing strong Q1 earnings, we have continued to build for successful results in Q2 and the rest of the year with a very good positioning of our fleet within the different basins. In April we have all our Pacific fleet open in premium positions, and five ships opening in the Indian Ocean. We have already fixed three repositioning legs from the Pacific to the Atlantic without having to discount the market, this puts us in a good position going into the second half of the year, where we can send ships from the Atlantic to the Pacific whenever we see peak premiums in the market. We are ready to take full advantage of stronger Atlantic P1A with our pool positions in that basin, all in line with our overall strategy.”
“The pride and joy of taking care of our clients’ assets and being the viable alternative to the period TC market is what drives me. Even though Baumarine has delivered good results over time, it is the continuous search for new areas of improvement that drives us in Klaveness. In the physical market we have a large fleet spread across the world where we are constantly adjusting our geographical balance in line with seasonality and trade patterns. We are also actively using the Forward Freight Market (FFA) to lock in margins and adjust our position towards the market movements. We have timely daily communications between our offices, which is key for sharing the latest market information. Furthermore, we have a world-class Research Team who has developed our in-house Machine Learning Prediction Models and a ‘Pool Optimization Tool’, allowing us to leverage big data to help maximize earnings for the next trades of our fleet,” concludes Graf.
The 'Pool Optimization Tool’ is calculating at present an outcome of approximately 160 000+ different options on how to employ the pool fleet to maximize our earnings at any given time, the basis is the current number of vessels trading in the pool considering the distinctive features and particularities of each of them; 180-day horizon; 14 routes; and two speed/consumption combinations.
Klaveness uses these in-house digital tools and domain knowledge to gather insights on the shipping market, and make data-driven decisions that maximize earnings for our customers. Among other resources, we utilize:
Machine learning market prediction models
Optimization algorithms (such as the Pool Optimization Tool)
Tradeflow data and AIS insight models
Contact us for a discussion on how to join us: ipi@klaveness.com
Stronger Together!