Kenapa Pasar Keuangan?

Pasar keuangan memungkinkan alokasi sumber daya secara efisien

  • across time
  • across states of nature Contoh 1: Pekerja dengan gaji tinggi. Apa yang harus dia lakukan?
  • Pasar finansial: Investasi di saham dan surat utang untuk membiayai masa pensiun, rumah, pendidikan, dll
  • Apabila tidak ada pasar finansial: Hanya bisa konsumsi saja Contoh 2: Petani memproduksi jeruk
  • Pasar finansial: Hedge menggunakan futures markets, terkait dengan derivatives
  • Apabila tidak ada pasar finansial: Hanya bisa spot market saja

Role of markets

  • Mengumpulkan informasi
  • Mengumpulkan likuiditas, supply and demand
  • Efisiensi dan fairness (keadilan) Produk: Memenuhi “kebutuhan”
  • Hedge risk
  • Allow speculation
  • Raise funds
  • Funds liabilities

Modeling Financial Markets

  1. Discrete-time models
    1. Single period models
    2. Multi-period models
  2. Continous-time models

Pros/Cons of discrete-time models

  • Pros: All important concepts with less sophisticated math
  • Cons: No closed-form solutions… Need to resurt to numerical calculations

Financial Economics vs Financial Engineering

Financial Economics: Use equilibrium arguments to

  • Price equities, bonds, and other assets
  • Set interest rates Financial Engineering: Assume prices of equities and interest rates given
  • Price derivatives on equities, bonds, interest rates, etc, using the no-arbitrage condition Not even close to being a complete separation
  • For example, Capital Asset Pricing Model (CAPM) of interest to both

Central Problems of FE

Security pricing

  • Primary securities: stocks and bonds … financial economics
  • Derivative securities: forwards, swaps, futures, options, on the underlying securities. Portfolio selection: choose a trading strategy to maximize the utility of consumption and final wealth
  • Intimately related to security pricing
  • Single-period models: Markowitz portfolio selection
  • Real options, e.g., options on gas pipelines, oil leases, and mines Risk management: understand the risk inherent in a portfolio
  • Tail risk: the probability of large losses
  • Value-at-risk and conditional value-at-risk
  • Starting to become important for portfolio selection as well Led to interesting applied math / operations research problems