Graph. Cap strike rate = ------- Evaluation Advantages • It provides the Borrower with a pre-agreed maximum rate of interest. • The Borrower benefits from floating rates lower than the Cap strike rate. • There are no additional costs arising from early termination. The Borrower will be entitled to receive any residual value attributable to the Cap. Disadvantages • The Borrower will incur a premium cost, usually paid up front. • If the floating rate remains below the Cap strike rate during the tenor of the Swap, the Borrower may feel they received no value. Interest rate floor • An interest rate floor is a series of European put options or floorlets on a specified reference rate, usually LIBOR. • Interest rate floors are utilized in derivative contracts and loan agreements. Interest rate floors are often used in the adjustable rate mortgage (ARM) market. • An OTC interest rate derivative, or specifically a contract on an interest rate whereby the seller (or the writer) pays the buyer (lender of loan), at periodic payment dates, the negative difference between the market interest rate (the reference interest rate) and the agreed strike price (the floor). • The floor, in other words, is the minimum interest rate that may be effected on, or affixed to, a contract. • For example, a lender may buy an interest rate floor stipulating that the interest rate should not go below 4% even if market rates necessitate lower levels. This way, an interest rate floor reduces the risk to lenders receiving the interest payments and guarantees a minimum rate for their loaned money. • Interest rate floor contracts are one of three common interest rate derivative contracts, the other two being interest rate caps and interest rate swaps. • Interest rate floor contracts and interest rate cap contracts are derivative products typically bought on market exchanges similar to put and call options Example • The buyer of the floor receives money if on the maturity of any of the floorlets, the reference rate is below the agreed strike price of the floor. • As a hypothetical example, assume that a lender is securing a floating rate loan and is looking for protection against lost income that would arise if interest rates were to decline. • Suppose the lender buys an interest rate floor contract with an interest rate floor of 8%. • The floating rate on the $1 million negotiated loan then falls to 7%. • The interest rate floor derivative contract purchased by the lender results in a payout of $10,0...
Graph. TECH believes the graphite contained in the Deposit may be of use in its production of advanced graphite materials. GRAPH-TECH, directly or through a corporation affiliated with GRAPH-TECH, is willing to fund the expenses of a feasibility study (the "Study") on the Deposit. References herein to "GRAPH-TECH" shall mean GRAPH-TECH, or a GRAPH-TECH affiliate.
Graph. TECH has first priority to all graphite available through the Vehicle and the Vehicle shall sell only capacity in excess of GRAPH-TECH's requirements to third parties. 2. GRAPH-TECH would be granted most favored customer status among its competitors and other producers of exfoliated graphite flake. 3. GRAPH-TECH will work with the Vehicle to establish avenues for sale of the mesh sizes not useable by GRAPH-TECH.
Graph. TECH shall pay to UCAR rent and fees for the Services (a "Fee"). The Fee shall be as specified in Schedule 1.1 and shall determined in accordance with this Section 3.
Graph. If you want a smoother graph, increase the smoothing factor (any integer between 1 and 10) to accomplish this, as demonstrated in Figure 32 and Figure 33. Figure 32 – Graph with no smoothing Figure 33 – Graph with a smoothing value of 2
Graph based data integration This approach involves mapping disease implicated genes on a network of background knowledge. The popular graph database Neo4j, has been used to integrate multiple heterogeneous types of data such as protein interactions, sequence similarity, pathway membership, disease-‐gene association, and drug target associations. Neo4j provides a robust persistence mechanism and has powerful functionality (the Cypher query language) for finding connections between entities (such as genes, pathways, diseases) using graph traversal methods. Network neighbourhoods of disease associated genes can be explored visually, and the framework allows new data types to be added with relative ease. We have made the Java code used to parse the data and populate the graph database available on GitHub.
