コード例 #1
0
def test_adi_swaption():

    swaption_expiry = 1
    swaption_maturity = 2
    freq = 0.5
    coupon = 0.062
    rate = 0.06

    initial_curve = get_mock_yield_curve_const(rate=rate)
    kappa = 0.3

    swap_pricer = SwapPricer(initial_curve, kappa)
    swap = Swap(swaption_expiry, swaption_maturity, freq)
    swaption_pricer = SwaptionPricer(swap_pricer)

    swaption = Swaption(swaption_expiry, coupon, swap)

    x = np.arange(0, 31)
    y = np.ones(31) * 0.1

    lambda_t = interp1d(x, y, kind='previous')
    alpha_t = interp1d(x, y, kind='previous')
    b_t = interp1d(x, y * 0, kind='previous')

    local_volatility = LinearLocalVolatility(lambda_t, alpha_t, b_t)

    #local_volatility = LinearLocalVolatility.from_const(30, 0.1, 0.1, 0.1)

    t_min = 0
    t_max = swaption_expiry
    t_grid_size = 100
    x_grid_size = 401

    y_grid_size = 20

    x_min, x_max = calculate_x_boundaries2(t_max, local_volatility, alpha=3)
    y_min, y_max = calculate_u_boundaries(t_max,
                                          kappa,
                                          local_volatility,
                                          alpha=3)

    mesher = Mesher2d()
    mesher.create_mesher_2d(t_min, t_max, t_grid_size, x_min, x_max,
                            x_grid_size, y_min, y_max, y_grid_size)

    theta = 0.5
    adi_runner = AdiRunner(theta, kappa, initial_curve, local_volatility,
                           mesher)

    swaption_value0 = adi_runner.run_adi(swaption, swaption_pricer)

    x0 = extract_x0_result(swaption_value0, mesher.xgrid, mesher.ugrid)
    print("Swaption value at 0: ", x0)
コード例 #2
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def test_adi_swaption2():

    swaption_expiry = 5
    swaption_maturity = 10
    freq = 0.5

    rate = 0.06

    initial_curve = get_mock_yield_curve_const(rate=rate)
    kappa = 0.3

    swap_pricer = SwapPricer(initial_curve, kappa)
    swap = Swap(swaption_expiry, swaption_maturity, freq)
    swaption_pricer = SwaptionPricer(swap_pricer)

    coupon = swap_pricer.price(swap, 0, 0, 0)
    swaption = Swaption(swaption_expiry, coupon, swap)

    local_volatility = LinearLocalVolatility.from_const(30, 0.5, 0.1, 0.2)
    #local_volatility = LinearLocalVolatility.from_const(30, 0.1, 0.1, 0.1)

    t_min = 0
    t_max = swaption_expiry
    t_grid_size = 100
    x_grid_size = 401

    y_grid_size = 20

    x_min, x_max = calculate_x_boundaries2(t_max, local_volatility, alpha=3)
    y_min, y_max = calculate_u_boundaries(t_max,
                                          kappa,
                                          local_volatility,
                                          alpha=3)

    mesher = Mesher2d()
    mesher.create_mesher_2d(t_min, t_max, t_grid_size, x_min, x_max,
                            x_grid_size, y_min, y_max, y_grid_size)

    theta = 0.5
    adi_runner = AdiRunner(theta, kappa, initial_curve, local_volatility,
                           mesher)

    swaption_value0 = adi_runner.run_adi(swaption, swaption_pricer)

    x0 = extract_x0_result(swaption_value0, mesher.xgrid, mesher.ugrid)

    implied_vola = find_implied_black_vola(x0, swaption, swap_pricer,
                                           swap_pricer.bond_pricer)

    print("Swaption value at 0: ", x0, implied_vola)
コード例 #3
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def test_adi_bond2():

    swaption_expiry = 10
    swaption_maturity = 15
    freq = 0.5
    logvola = 0.2
    maturity = 10

    initial_curve = get_mock_yield_curve_const(rate=0.06)
    kappa = 0.5

    swap_pricer = SwapPricer(initial_curve, kappa)
    swap = Swap(swaption_expiry, swaption_maturity, freq)

    local_volatility = BlackVolatilityModel(logvola, swap, swap_pricer)

    t_min = 0
    t_max = swaption_expiry
    t_grid_size = 100
    x_grid_size = 401

    y_grid_size = 40

    x_min, x_max = calculate_x_boundaries2(t_max, local_volatility, alpha=2)
    y_min, y_max = calculate_u_boundaries(t_max,
                                          kappa,
                                          local_volatility,
                                          alpha=2)

    x_min, x_max = -0.05, +0.05

    mesher = Mesher2d()
    mesher.create_mesher_2d(t_min, t_max, t_grid_size, x_min, x_max,
                            x_grid_size, y_min, y_max, y_grid_size)

    theta = 0.5
    adi_runner = AdiRunner(theta, kappa, initial_curve, local_volatility,
                           mesher)

    bond = Bond(maturity)
    bond_pricer = BondPricer(initial_curve, kappa)

    bond_value0 = adi_runner.run_adi(bond, bond_pricer)
    print("pause")
コード例 #4
0
def test_adi_bond():

    maturity = 10

    linear_local_volatility = LinearLocalVolatility.from_const(
        30, 0.1, 0.1, 0.1)
    #linear_local_volatility = LinearLocalVolatility.from_const(30, 0.1, 0.1, 0)

    theta = 0.5
    kappa = 0.3
    initial_curve = get_mock_yield_curve_const(rate=0.06)

    t_min = 0
    t_max = maturity
    t_grid_size = 200
    x_grid_size = 201

    y_grid_size = 20

    x_min, x_max = calculate_x_boundaries2(t_max,
                                           linear_local_volatility,
                                           alpha=2.5)
    y_min, y_max = calculate_u_boundaries(t_max,
                                          kappa,
                                          linear_local_volatility,
                                          alpha=2.5)

    mesher = Mesher2d()
    mesher.create_mesher_2d(t_min, t_max, t_grid_size, x_min, x_max,
                            x_grid_size, y_min, y_max, y_grid_size)

    adi_runner = AdiRunner(theta, kappa, initial_curve,
                           linear_local_volatility, mesher)

    bond = Bond(maturity)
    bond_pricer = BondPricer(initial_curve, kappa)

    bond_t0 = adi_runner.run_adi(bond, bond_pricer)
    bond_xyt0 = extract_x0_result(bond_t0, adi_runner.mesher.xgrid,
                                  adi_runner.mesher.ugrid)

    actual = bond_pricer.price(bond, 0, 0, 0)

    np.testing.assert_approx_equal(bond_xyt0, actual)
コード例 #5
0
def adi_bond_report():

    output_path = os.path.join(output_data_raw_finite_difference,
                               date_timestamp)

    curve_rate = 0.01
    maturity_grid = [30]
    kappa_grid = [0.03]
    theta = 1 / 2

    initial_curve = get_mock_yield_curve_const(rate=curve_rate)

    vola_parameters = [(i, curve_rate, j) for i in [0.05, 0.1, 0.2, 0.4]
                       for j in [0.1, 0.3, 0.5, 0.7, 0.9]]
    vola_grid_df = pd.DataFrame(vola_parameters,
                                columns=["lambda", "alpha", "beta"])

    finite_difference_parameter = [(100, 150, 20), (300, 400, 80)]

    #finite_difference_parameter = [(100, 150, 20)]

    finite_difference_grid_df = pd.DataFrame(
        finite_difference_parameter,
        columns=["t_grid_size", "x_grid_size", "y_grid_size"])

    output_path = get_nonexistant_path(output_path)

    vola_grid_df = vola_grid_df.loc[(vola_grid_df["lambda"] == 0.4)
                                    & (vola_grid_df["beta"] == 0.35)]

    for maturity in maturity_grid:
        for kappa in kappa_grid:
            bond = Bond(maturity)
            bond_pricer = BondPricer(initial_curve, kappa)
            for index, vola_grid_row in vola_grid_df.iterrows():
                loca_vola = LinearLocalVolatility.from_const(
                    maturity, vola_grid_row["lambda"], vola_grid_row["alpha"],
                    vola_grid_row["beta"])
                for index, finite_difference_grid_row in finite_difference_grid_df.iterrows(
                ):

                    x_grid_size = finite_difference_grid_row["x_grid_size"]
                    y_grid_size = finite_difference_grid_row["y_grid_size"]
                    t_grid_size = finite_difference_grid_row["t_grid_size"]

                    t_min = 0
                    t_max = maturity

                    x_min, x_max = calculate_x_boundaries2(t_max,
                                                           loca_vola,
                                                           alpha=3)
                    x_min, x_max = calculate_x_boundaries3(t_max,
                                                           kappa,
                                                           loca_vola,
                                                           alpha=3)
                    u_min, u_max = calculate_u_boundaries(t_max,
                                                          kappa,
                                                          loca_vola,
                                                          alpha=4)

                    mesher = Mesher2d()
                    mesher.create_mesher_2d(t_min, t_max, t_grid_size, x_min,
                                            x_max, x_grid_size, u_min, u_max,
                                            y_grid_size)

                    adi_runner = AdiRunner(theta, kappa, initial_curve,
                                           loca_vola, mesher)

                    bond_t0 = pd.DataFrame(
                        adi_runner.run_adi(bond, bond_pricer))

                    output_file = os.path.join(output_path,
                                               "bond_price_fd.hdf")
                    file_path = get_nonexistant_path(output_file)

                    meta_data = {
                        "x_grid_size": int(x_grid_size),
                        "y_grid_size": int(y_grid_size),
                        "maturity": maturity,
                        "t_grid_size": int(t_grid_size),
                        "vola_lambda": vola_grid_row["lambda"],
                        "vola_alpha": vola_grid_row["alpha"],
                        "vola_beta": vola_grid_row["beta"],
                        "curve_rate": curve_rate,
                        "kappa": kappa
                    }

                    meta_data = pd.DataFrame(meta_data, index=[0])
                    bond_t0.to_hdf(file_path, key="data", complevel=5)
                    meta_data.to_hdf(file_path, key="metadata", complevel=5)

                    pd.DataFrame(mesher.xmesh).to_hdf(file_path,
                                                      key='xmesh',
                                                      complevel=5)
                    pd.DataFrame(mesher.umesh).to_hdf(file_path,
                                                      key='ymesh',
                                                      complevel=5)

                    pd.DataFrame(mesher.xgrid).to_hdf(file_path,
                                                      key='xgrid',
                                                      complevel=5)
                    pd.DataFrame(mesher.ugrid).to_hdf(file_path,
                                                      key='ygrid',
                                                      complevel=5)
コード例 #6
0
def adi_swaption_report():

    output_path = os.path.join(output_data_raw_finite_difference, date_timestamp)

    curve_rate = 0.06
    kappa_grid = [0.03]
    theta = 1/2

    initial_curve = get_mock_yield_curve_const(rate=curve_rate)

    finite_difference_parameter = [(100, 150, 10), (400, 800, 60)]

    finite_difference_parameter = [(150, 200, 80)]
    #finite_difference_parameter = [(400, 800, 60)]

    #finite_difference_parameter = [(800, 1000, 100)]
    finite_difference_parameter = [(50, 100, 10), (100, 150, 20), (150, 200, 40), (200, 300, 60), (300, 400, 80)]
    finite_difference_parameter = [(400, 600, 100)]
    #finite_difference_parameter = [(600, 800, 120)]
    #finite_difference_parameter = [(100, 150, 20), (150, 200, 40), (300, 400, 80), (400, 600, 100)]

    #finite_difference_parameter = [ (400, 600, 100)]

    finite_difference_parameter = [(100, 150, 20), (150, 200, 40), (300, 400, 80), (400, 600, 100)]
    #finite_difference_parameter = [ (400, 600, 100)]
    finite_difference_parameter = [(300, 400, 80)]
    #finite_difference_parameter = [(150, 200, 40)]

    finite_difference_grid_df = pd.DataFrame(finite_difference_parameter, columns=["t_grid_size", "x_grid_size", "y_grid_size"])
    output_path = get_nonexistant_path(output_path)
    vola_parameters = [(i, curve_rate, j) for i in [0.6, 0.8] for j in [0.05, 0.2]]
    vola_grid_df = pd.DataFrame(vola_parameters, columns=["lambda", "alpha", "beta"])

    #coupon_grid = [0, +0.0025, -0.0025, +0.005, -0.005, +0.01, -0.01, 0.015, -0.015, 0.02, -0.02, 0.025, -0.025]

    #swap_ls = [(1, 6), (5, 10), (10, 20), (20, 30), (25, 30)]

    #swap_ls = [(1,6), (5, 10), (10,20)]

    swap_ls = [(20, 21)]
    coupon_grid = [0, +0.005, -0.005, +0.01, -0.01, 0.015, -0.015]
    #coupon_grid = [0]

    #coupon_grid = [0]
    #swap_ls = [(5, 10)]
    #finite_difference_grid_df = finite_difference_grid_df[:-1]

    vola_grid_df = vola_grid_df.iloc[[0, 3]]

    for swap_exp_mat in swap_ls:
        expiry, maturity = swap_exp_mat
        for kappa in kappa_grid:
            swap_pricer = SwapPricer(initial_curve, kappa)
            swaption_pricer = SwaptionPricer(swap_pricer)
            swap = Swap(expiry, maturity, 0.5)
            atm_swap_price = swap_pricer.price(swap, 0, 0, 0)
            strike_grid = [atm_swap_price+coupon for coupon in coupon_grid]
            #strike_grid = [0.01, 0.015, 0.02, 0.025, 0.03]

            for strike in strike_grid:
                swaption = Swaption(expiry, strike, swap)
                for index, vola_grid_row in vola_grid_df.iterrows():
                    loca_vola = LinearLocalVolatility.from_const(maturity, vola_grid_row["lambda"], vola_grid_row["alpha"], vola_grid_row["beta"])
                    for index, finite_difference_grid_row in finite_difference_grid_df.iterrows():

                        x_grid_size = finite_difference_grid_row["x_grid_size"]
                        y_grid_size = finite_difference_grid_row["y_grid_size"]
                        t_grid_size = finite_difference_grid_row["t_grid_size"]

                        t_min = 0
                        t_max = expiry

                        x_min, x_max = calculate_x_boundaries2(t_max, loca_vola, alpha=3)
                        x_min, x_max = calculate_x_boundaries3(expiry, kappa, loca_vola, alpha=4)
                        y_min, y_max = calculate_u_boundaries(t_max, kappa, loca_vola, alpha=4)

                        mesher = Mesher2d()
                        mesher.create_mesher_2d(t_min, t_max, t_grid_size, x_min, x_max, x_grid_size, y_min, y_max,
                                                y_grid_size)

                        adi_runner = AdiRunner(theta, kappa, initial_curve, loca_vola, mesher)

                        swaption_t0 = pd.DataFrame(adi_runner.run_adi(swaption, swaption_pricer))

                        output_file = os.path.join(output_path, "swaption_price_fd.hdf")
                        file_path = get_nonexistant_path(output_file)

                        swaption_t0_x0_y0 = extract_x0_result(swaption_t0.values, mesher.xgrid, mesher.ugrid)
                        implied_black_vola = find_implied_black_vola(swaption_t0_x0_y0, swaption, swap_pricer, swap_pricer.bond_pricer)

                        meta_data = {"expiry": expiry, "maturity": maturity, "strike": strike,
                                     "atm strike": atm_swap_price, "moneyness": strike - atm_swap_price,
                                     "x_grid_size": int(x_grid_size), "y_grid_size": int(y_grid_size),
                                      "t_grid_size": int(t_grid_size),
                                     "vola_lambda": vola_grid_row["lambda"], "vola_alpha": vola_grid_row["alpha"],
                                     "vola_beta": vola_grid_row["beta"], "curve_rate": curve_rate, "kappa": kappa,
                                     "swaption_value": swaption_t0_x0_y0, "implied_black_vola": implied_black_vola}

                        meta_data = pd.DataFrame(meta_data, index=[0])
                        swaption_t0.to_hdf(file_path, key="data", complevel=5)
                        meta_data.to_hdf(file_path, key="metadata", complevel=5)

                        print(meta_data)

                        pd.DataFrame(mesher.xmesh).to_hdf(file_path, key='xmesh', complevel=5)
                        pd.DataFrame(mesher.umesh).to_hdf(file_path, key='ymesh', complevel=5)

                        pd.DataFrame(mesher.xgrid).to_hdf(file_path, key='xgrid', complevel=5)
                        pd.DataFrame(mesher.ugrid).to_hdf(file_path, key='ygrid', complevel=5)