A positive correlation between two factors indicates that they move in the same direction. In other words, when factor A increases in value, factor B is also likely to appreciate in value. This is because a positive correlation signifies a direct relationship between the two factors. The degree of correlation can vary, but the direction of the movement remains the same. For instance, a correlation of 1 means a perfect positive correlation, where every increase in factor A corresponds to an equal proportionate increase in factor B. On the other hand, a correlation of 0.5 would mean that for every unit increase in factor A, factor B increases by half a unit. Therefore, in the context of financial markets and forward contracts, a positive correlation between two factors can have significant implications for pricing and risk management strategies.

Choice A is incorrect. A positive correlation between two factors, such as factor A and factor B, does not mean that when one increases in value, the other depreciates. Instead, a positive correlation implies that both factors are likely to move in the same direction. Therefore, if factor A increases in value, factor B is also likely to increase.

Choice B is incorrect. This choice suggests an inverse relationship between the two factors which would be indicative of a negative correlation rather than a positive one. In a positive correlation scenario, if factor A decreases in value then it's expected that Factor B will also decrease.

Choice C is incorrect. The statement implies no relationship or zero correlation between Factor A and Factor B which contradicts with our premise of having a positive correlation between these two factors where they move together either upwards or downwards.